Last updated on 2025-12-20 21:49:42 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.6.2 | 13.76 | 206.94 | 220.70 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.6.2 | 8.76 | 140.36 | 149.12 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.6.2 | 25.00 | 329.27 | 354.27 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.6.2 | 23.00 | 323.23 | 346.23 | ERROR | |
| r-devel-windows-x86_64 | 1.6.2 | 16.00 | 441.00 | 457.00 | OK | |
| r-patched-linux-x86_64 | 1.6.2 | 14.14 | 520.27 | 534.41 | OK | |
| r-release-linux-x86_64 | 1.6.2 | 12.65 | 514.22 | 526.87 | OK | |
| r-release-macos-arm64 | 1.6.2 | 3.00 | 112.00 | 115.00 | OK | |
| r-release-macos-x86_64 | 1.6.2 | 10.00 | 476.00 | 486.00 | OK | |
| r-release-windows-x86_64 | 1.6.2 | 19.00 | 429.00 | 448.00 | OK | |
| r-oldrel-macos-arm64 | 1.6.2 | 3.00 | 115.00 | 118.00 | OK | |
| r-oldrel-macos-x86_64 | 1.6.2 | 10.00 | 538.00 | 548.00 | OK | |
| r-oldrel-windows-x86_64 | 1.6.2 | 23.00 | 601.00 | 624.00 | OK |
Version: 1.6.2
Check: examples
Result: ERROR
Running examples in ‘polle-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: conditional
> ### Title: Conditional Policy Evaluation
> ### Aliases: conditional
>
> ### ** Examples
>
> library("polle")
> library("data.table")
Attaching package: ‘data.table’
The following object is masked from ‘package:base’:
%notin%
> setDTthreads(1)
> d <- sim_single_stage(n=2e3)
> pd <- policy_data(d,
+ action = "A",
+ baseline = c("B"),
+ covariates = c("Z","L"),
+ utility = "U")
>
> # static policy:
> p <- policy_def(1)
>
> pe <- policy_eval(pd,
+ policy = p)
Error in `[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * :
attempt access index 11/11 in VECTOR_ELT
Calls: policy_eval ... get_history.policy_data -> stage_state_history -> [ -> [.data.table
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.6.2
Check: tests
Result: ERROR
Running ‘test-all.R’ [81s/89s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> suppressPackageStartupMessages(library("testthat"))
> options(Ncpus = 2)
> data.table::setDTthreads(2)
> test_check("polle")
Loading required package: polle
Loading required package: SuperLearner
Loading required package: nnls
Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.22-7
Super Learner
Version: 2.0-29
Package created on 2024-02-06
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[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-c_cox.R:92:3'): c_cox returns the expected output ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, event_set = c(0, 1, 2), stage = 2) at test-c_cox.R:92:3
2. └─polle:::get_history.policy_data(pd, event_set = c(0, 1, 2), stage = 2)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:123:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:123:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:138:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model1)` to equal `coef(fcf$stage_1$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:143:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model2)` to equal `coef(fcf$stage_2$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:149:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:164:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model1))` to equal `unname(coef(fcf$stage_1$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:169:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model2))` to equal `unname(coef(fcf$stage_2$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Error ('test-fit_c_functions.R:180:3'): fit_c_functions(): g_model's passed as the argument c_models are fitted and predicted correctly for discrete right-censoring: ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:180:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:240:3'): fit_c_functions() related errors to fitting the c-model. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:240:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:257:3'): fit_c_functions(): returns default right-censoring model for stages where no right-censoring occur, ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(...) at test-fit_c_functions.R:257:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Failure ('test-fit_functions.R:15:5'): fit_functions handle multiple thresholds ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 12/12 in VECTOR_ELT
── Error ('test-fit_functions.R:29:5'): fit_functions handle multiple thresholds ──
Error in `eval(code, test_env)`: object 'ff' not found
Backtrace:
▆
1. └─testthat::expect_is(ff$policy_object, class = "policy_object") at test-fit_functions.R:29:5
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error ('test-fit_functions.R:63:5'): crossfit_functions has the expected outcome ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 100) at test-fit_functions.R:75:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_functions.R:63:5
3. └─data.table:::`[.data.table`(...) at test-fit_functions.R:63:5
── Error ('test-fit_m_function.R:44:3'): fit_m_function has the expected output. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:44:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:44:3
── Error ('test-fit_m_function.R:181:3'): fit_m_function handles missing covariates (throws and error message that is related to the m-model) ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:181:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:181:3
── Error ('test-g_empir.R:36:3'): g_empir predictions in a single stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, new_policy_data = pd) at test-g_empir.R:36:3
2. └─polle:::predict.nuisance_functions(g_functions, new_policy_data = pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-g_empir.R:115:3'): g_empir predictions in a two stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-g_empir.R:115:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:40:3'): predict.g_functions checks the action set ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:40:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:55:3'): predict.g_functions checks the action set ──
`predict(gfit, pd2)` threw an error with unexpected message.
Expected match: "factor A_1 has new levels maybe"
Actual message: "object 'gfit' not found"
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd2), "factor A_1 has new levels maybe") at test-g_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd2)
── Error ('test-g_models.R:62:7'): predict.g_functions checks the action set ───
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test-g_models.R:60:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::predict.g_function(...) at test-g_models.R:62:7
5. └─base::getElement(object, "g_model")
── Failure ('test-g_models.R:99:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:99:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:103:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:103:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:108:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:108:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:112:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:112:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:124:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:124:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-g_models.R:149:3'): fit_g_function_cf saves the cross-fitted models ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-g_models.R:159:3'): fit_g_function_cf saves the cross-fitted models ──
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_true(all(!unlist(lapply(gfit$functions, is.null)))) at test-g_models.R:159:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unlist(lapply(gfit$functions, is.null))
5. └─base::lapply(gfit$functions, is.null)
── Failure ('test-g_models.R:252:3'): g_rf runs: ───────────────────────────────
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 13/13 in VECTOR_ELT
── Error ('test-g_models.R:262:3'): g_rf runs: ─────────────────────────────────
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─testthat::expect_is(pe, class = "policy_eval") at test-g_models.R:262:3
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-g_models.R:277:3'): g_sl formats data correctly via the formula ──
`policy_eval(...)` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:277:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:356:3'): g_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:356:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:388:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "NA/NaN/Inf in 'x'"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:388:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:396:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:396:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:403:3'): g_glm handles missing covariates ─────────
`... <- NULL` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:403:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:447:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:447:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:454:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:454:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-g_xgboost.R:27:3'): g_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_fun, pd) at test-g_xgboost.R:27:3
2. └─polle:::predict.nuisance_functions(g_fun, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:20:5'): get_history() checks input ───
`get_history(pd, stage = ss)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:19:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(get_history(pd, stage = ss), NA) at test-policy_data-functions.R:20:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = ss)
9. └─polle:::get_history.policy_data(pd, stage = ss)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:86:3'): full_history() returns the history associated with the action process when event_set = c(0). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:86:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:177:3'): full_history() returns the history associated with the event process when event_set = c(0,2). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:177:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:331:3'): full_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 1, 2)) at test-policy_data-functions.R:331:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:483:3'): stage_state_history() returns the history associated with the action process when event_set = c(0) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:483:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:573:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:573:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:722:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(...) at test-policy_data-functions.R:722:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:1211:5'): plot.policy_data() does not fail for right-censored data ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1222:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1211:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1211:5
── Error ('test-policy_data-functions.R:1268:5'): partial.policy_data() handles right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1279:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1268:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1268:5
── Error ('test-policy_def.R:11:3'): policy_def checks the action set ──────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_warning(p(pd), "The policy actions does not comply with the action set of the policy data object.") at test-policy_def.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:39:3'): policy_def handles static policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd))) at test-policy_def.R:39:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:119:3'): policy_def handles dynamic policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:119:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:170:7'): policy_def handles static policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─base::lapply(...) at test-policy_def.R:166:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd) * get_K(pd))) at test-policy_def.R:170:7
4. │ └─testthat::quasi_label(enquo(object), label)
5. │ └─rlang::eval_bare(expr, quo_get_env(quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:237:3'): policy_def handles dynamic policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:237:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:308:3'): policy_def handles a stochastic number of stages ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:308:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:132:3'): policy_eval checks input under right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:132:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:132:3
── Error ('test-policy_eval-censoring.R:244:3'): policy_eval with target 'value' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:244:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:678:3'): policy_eval returns the expected c_functions output when using c-models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-censoring.R:678:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
6. ├─polle::get_history(...)
7. └─polle:::get_history.policy_data(...)
8. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
9. ├─...[]
10. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:723:3'): policy_eval with target 'subgroup' has the correct output under right-censoring. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:723:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:723:3
── Error ('test-policy_eval-censoring.R:1062:3'): policy_eval() handles sparse censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1062:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1139:3'): policy_eval() handles abundant censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1139:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1288:3'): policy_eval with target 'value' has the expected output
for the two-stage case under right-censoring and terminal events. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1288:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:19:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemented for more than two actions."
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:19:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:38:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemeted for multiple stages."
Actual message: "attempt access index 10/10 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:38:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:64:5'): policy_eval with target 'subgroup' agrees with targeted::cate. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:64:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:185:3'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Expected `pe <- policy_eval(policy_data = pd, policy = p, target = "subgroup")` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval-subgroup.R:138:5'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle (local) test_output(pe) at test-policy_eval-subgroup.R:192:3
2. ├─testthat::expect_true(!is.null(coef(pe)) && is.numeric(coef(pe))) at test-policy_eval-subgroup.R:138:5
3. │ └─testthat::quasi_label(enquo(object), label)
4. │ └─rlang::eval_bare(expr, quo_get_env(quo))
5. └─stats::coef(pe)
── Error ('test-policy_eval-subgroup.R:283:5'): policy_eval with target 'subgroup' has the correct outputs: test2. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:283:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:360:3'): policy_eval with target 'subgroup' returns NA when no subjects are in the subgroup. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:360:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:477:3'): policy_eval with target 'subgroup' works with policy_learning with multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:477:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:633:3'): policy_eval with target 'subgroup' returns NA when the subgroup count is below the minimum. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:633:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:725:3'): policy_eval runs with policy_learn using quantile_prob_thres ──
`... <- NULL` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:725:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. └─polle:::policy_eval_cross(...)
8. ├─base::do.call(what = future.apply::future_lapply, cross_args)
9. └─future.apply (local) `<fn>`(...)
10. └─future.apply:::future_xapply(...)
11. └─base::tryCatch(...)
12. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. └─base (local) tryCatchOne(...)
14. └─value[[3L]](cond)
15. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:6:3'): policy_eval returns g and Q-function values. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:6:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:52:5'): policy_eval do not save g and Q-functions when
save_g_functions = FALSE and save_q_functions = FALSE. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:52:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:149:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_model = g_glm())` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_model = g_glm())
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:157:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:157:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:175:3'): policy_eval checks inputs. ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-policy_eval.R:175:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:276:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Expected `pe <- policy_eval(pd, policy = p, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:280:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(get_g_functions(pe), gf) at test-policy_eval.R:280:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_g_functions(pe)
── Failure ('test-policy_eval.R:351:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`pe1_ipw <- policy_eval(pd1, policy = policy_def(1), type = "ipw")` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:351:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(pd1, policy = policy_def(1), type = "ipw")
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:355:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`... <- NULL` threw an error.
Message: object 'pe1_ipw' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:355:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_g_functions(pe1_ipw)
── Error ('test-policy_eval.R:364:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
Error in `eval(code, test_env)`: object 'pe2_ipw' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe2_ipw)), 0) at test-policy_eval.R:364:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe2_ipw))
5. └─stats::coef(pe2_ipw)
── Failure ('test-policy_eval.R:409:3'): policy_eval handles varying stage action sets. ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:409:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:421:3'): policy_eval handles varying stage action sets. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "The policy actions does not comply with the stage action sets of the policy data object."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:421:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:438:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:447:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe_pooled' not found
Backtrace:
▆
1. ├─testthat::expect_true(is.numeric(coef(pe_pooled))) at test-policy_eval.R:447:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─stats::coef(pe_pooled)
── Error ('test-policy_eval.R:518:3'): policy_eval with target = 'value' agrees with targeted::cate in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:518:3
2. └─polle:::policy_eval_cross(...)
3. ├─base::do.call(what = future.apply::future_lapply, cross_args)
4. └─future.apply (local) `<fn>`(...)
5. └─future.apply:::future_xapply(...)
6. └─base::tryCatch(...)
7. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. └─base (local) tryCatchOne(...)
9. └─value[[3L]](cond)
10. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:564:3'): policy_eval with target 'value' has the correct outputs in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:564:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:708:3'): policy_eval passes nuisance models to policy_learn correctly ──
Expected `pe <- policy_eval(pd, policy_learn = pl, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:714:3'): policy_eval passes nuisance models to policy_learn correctly ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle::get_policy_object(pe) at test-policy_eval.R:714:3
── Error ('test-policy_eval.R:786:3'): policy_eval() using policy_learn() has the correct output ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:786:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:860:3'): policy_eval with target 'value' has the correct outputs for the fixed two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:860:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:917:3'): policy_eval with target 'value' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval.R:917:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1074:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Expected `{ ... }` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:1082:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1082:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval.R:1224:3'): conditional.policy_eval agrees with targeted::cate ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:1224:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1291:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Error ('test-policy_eval.R:1302:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1302:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Failure ('test-policy_eval.R:1380:3'): policy_eval() runs without covariates. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 9/9 in VECTOR_ELT
── Error ('test-policy_eval.R:1392:3'): policy_eval() runs without covariates. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1392:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval_online.R:19:3'): policy_eval_online() uses valid indexes for training and validation: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:19:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:70:3'): policy_eval_online has the expected output for target = 'value' in the single stage case: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:70:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:228:3'): policy_eval_sequential has the expected output in the single stage case for target = 'subgroup' ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:228:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_g_functions.R:16:3'): policy_g_functions returns a policy which selects the most probable action. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, pd) at test-policy_g_functions.R:16:3
2. └─polle:::predict.nuisance_functions(g_functions, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip-censoring.R:37:3'): policy_learn with type 'blip' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip-censoring.R:37:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:17:5'): policy_learn with type blip works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-blip.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-blip.R:17:5
5. ├─base::do.call(what = call, args)
6. └─polle:::blip(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:88:3'): get_policy_functions.blip returns a list of policy functions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:88:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:165:3'): get_policy.blip returns a policy ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:165:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:235:3'): policy_learn with type blip is persistent in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:235:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:275:3'): policy_learn with type blip passes the threshold argument in the single-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:275:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:309:3'): get_policy.blip uses the threshold argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:309:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:370:3'): policy_learn with type blip uses the threshold argument in the two-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:370:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:410:3'): get_policy and get_policy_functions agree with type blip and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:410:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:458:3'): get_policy.blip() returns multiple policies when given multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:458:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:513:3'): policy_learn with type blip uses the quantile_threshold argument. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:513:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:576:3'): policy_learn with type 'blip' has the expected output for a fixed two-stage case with a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:576:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:758:3'): policy_learn with type 'blip' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:758:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:11:3'): get_policy.drql returns a policy ──
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-drql.R:12:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::drql(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:16:3'): get_policy.drql returns a policy ───
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-drql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-drql.R:54:3'): policy_learn with type = 'drql' checks input ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:54:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:95:3'): policy_learn with type drql works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:95:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:189:3'): policy_learn with type drql handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:189:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::drql(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:193:3'): policy_learn with type drql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-drql.R:193:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-drql.R:198:3'): policy_learn with type drql handles varying action sets ──
`pf1 <- get_policy_functions(po, stage = 1)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:198:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po, stage = 1)
── Error ('test-policy_learn-drql.R:202:3'): policy_learn with type drql handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1, full_history = FALSE) at test-policy_learn-drql.R:202:3
2. └─polle:::get_history.policy_data(pd, stage = 1, full_history = FALSE)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:361:3'): policy_learn with type = 'drql' uses the cross_fit_g_models argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, list(g_empir(), g_empir()), full_history = FALSE) at test-policy_learn-drql.R:361:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:401:3'): policy_learn with type = 'drql' saves cross-fitted models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = list(g_empir(), g_empir()), q_models = q_glm()) at test-policy_learn-drql.R:401:3
2. ├─base::do.call(what = call, args)
3. └─polle:::drql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:457:3'): policy_learn with type drql handles multiple stages with varying stage action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─base::suppressWarnings(...) at test-policy_learn-drql.R:457:3
2. │ └─base::withCallingHandlers(...)
3. └─polle::policy_eval(...)
4. ├─base::do.call(what = policy_eval_type, args = args)
5. └─polle (local) `<fn>`(...)
6. └─polle:::fit_functions(...)
7. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
8. └─base::lapply(...)
9. └─polle (local) FUN(X[[i]], ...)
10. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:26:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(policy_data = pd1, g_models = g_glm()) at test-policy_learn-owl.R:26:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:69:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the two stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-owl.R:69:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:135:3'): policy_learn with type owl runs as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-owl.R:135:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:9:3'): get_policy.ptl returns a policy ────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:9:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-ptl.R:10:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::ptl(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:15:3'): get_policy.ptl returns a policy ─────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ptl.R:15:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Failure ('test-policy_learn-ptl.R:45:3'): policy_learn with type ptl works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-ptl.R:47:7
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:56:3'): policy_learn with type ptl works as intended ──
Error in `eval(code, test_env)`: object 'po' not found
Backtrace:
▆
1. ├─testthat::expect_s3_class(get_policy(po)(pd), "data.table") at test-policy_learn-ptl.R:56:3
2. │ └─testthat::quasi_label(enquo(object))
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:110:3'): policy_learn with type ptl handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:110:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:114:3'): policy_learn with type ptl handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ptl.R:114:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:119:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:119:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:147:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:147:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) pl2(pd2, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::crossfit_function(...)
10. ├─base::do.call(what = future.apply::future_lapply, future_args)
11. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
12. └─future.apply:::future_xapply(...)
13. └─base::tryCatch(...)
14. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
15. └─base (local) tryCatchOne(...)
16. └─value[[3L]](cond)
17. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-policy_learn-ptl.R:151:3'): policy_learn with type ptl handles varying action sets ──
`pa2 <- get_policy(po2)(pd2)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa2 <- get_policy(po2)(pd2), NA) at test-policy_learn-ptl.R:151:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po2)
── Failure ('test-policy_learn-ptl.R:155:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:155:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:163:3'): policy_learn with type ptl handles varying action sets ──
`pf2_1 <- get_policy_functions(po2, stage = 1)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:163:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po2, stage = 1)
── Error ('test-policy_learn-ptl.R:167:3'): policy_learn with type ptl handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd2, stage = 1) at test-policy_learn-ptl.R:167:3
2. └─polle:::get_history.policy_data(pd2, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:208:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `po <- pl(policy_data = pd, g_models = g_glm(), q_models = q_glm())` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-policy_learn-ptl.R:216:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Failure ('test-policy_learn-ptl.R:220:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `unlist(lapply(pf, function(x) attr(x, "name")))` to equal `paste0("ptl(eta=", c(0, 0.5, 1), ")")`.
Differences:
target is NULL, current is character
── Failure ('test-policy_learn-ptl.R:225:3'): policy_learn with type = 'ptl' works with thresholds. ──
`pf <- get_policy(po, threshold = 2)` threw an error with unexpected message.
Expected match: "Invalid threshold. Choose between 0, 0.5, 1"
Actual message: "object 'po' not found"
Backtrace:
▆
1. ├─testthat::expect_error(pf <- get_policy(po, threshold = 2), "Invalid threshold. Choose between 0, 0.5, 1") at test-policy_learn-ptl.R:225:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po, threshold = 2)
── Failure ('test-policy_learn-ptl.R:230:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po, threshold = 0.5)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Error ('test-policy_learn-ptl.R:234:3'): policy_learn with type = 'ptl' works with thresholds. ──
<getvarError/missingArgError/error/condition>
Error in `pf(pd)`: argument "df1" is missing, with no default
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-ptl.R:234:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─data.table::is.data.table(pf(pd))
5. └─stats::pf(pd)
── Error ('test-policy_learn-ptl.R:263:3'): get_policy and get_policy_functions agree with type ptl and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ptl.R:263:3
2. ├─base::do.call(what = call, args)
3. └─polle:::ptl(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:10:3'): get_policy.ql returns a policy ─────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:10:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm())) at test-policy_learn-ql.R:12:7
7. └─polle:::pl(pd, q_models = q_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::rql(...)
10. └─polle:::q_step(...)
11. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
12. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:16:3'): get_policy.ql returns a policy ───────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-ql.R:36:3'): get_policy_functions.ql agrees with get_policy.ql ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:36:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:113:3'): get_policy_functions.ql handles deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:113:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:186:3'): get_policy_functions.ql handles partially missing deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:186:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:255:3'): get_policy_functions.ql handles realistic actions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ql.R:255:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:327:3'): get_policy_functions.ql handles varying stage action set ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_empir())) at test-policy_learn-ql.R:327:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:369:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = q_glm())` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:369:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:373:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = list(q_glm(), q_glm()))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:373:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = list(q_glm(), q_glm()))
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:387:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:387:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm(), g_glm()) at test-policy_learn-ql.R:388:5
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:391:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:391:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po) at test-policy_learn-ql.R:392:5
── Error ('test-policy_learn-ql.R:395:3'): policy_learn with type = 'ql' works as intended ──
Error in `p(pd)`: could not find function "p"
Backtrace:
▆
1. └─testthat::expect_s3_class(p(pd), class = "data.table") at test-policy_learn-ql.R:395:3
2. └─testthat::quasi_label(enquo(object))
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-policy_learn-ql.R:412:3'): policy_learn with type ql handles varying action sets ──
`po <- pl(pd, q_models = q_glm())` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(po <- pl(pd, q_models = q_glm()), NA) at test-policy_learn-ql.R:412:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:416:3'): policy_learn with type ql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ql.R:416:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ql.R:420:3'): policy_learn with type ql handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:420:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn.R:39:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:39:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:45:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0.1))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:53:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = TRUE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:53:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:59:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = FALSE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:59:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:294:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'drql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:294:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:305:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:305:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:316:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'ptl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:316:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:327:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'earl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:327:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:338:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rwl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:338:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:349:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'owl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:349:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:9:3'): predict.q_glmnet return a vector ─────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1) at test-q_glmnet.R:9:3
2. └─polle:::get_history.policy_data(pd, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:33:5'): q_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:33:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:70:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:70:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:79:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:79:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:156:3'): testing that q_glmnet returns the prediction associated with lambda.min ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-q_glmnet.R:156:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:18:3'): fit_q_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:18:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:22:3'): fit_q_functions handles varying stage-action sets ──
`tmp <- predict(qfit, pd)` threw an error.
Message: object 'qfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(tmp <- predict(qfit, pd), NA) at test-q_models.R:22:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(qfit, pd)
── Error ('test-q_models.R:27:3'): fit_q_functions handles varying stage-action sets ──
Error in `eval(code, test_env)`: object 'qfit' not found
Backtrace:
▆
1. └─stats::predict(...) at test-q_models.R:27:3
── Failure ('test-q_models.R:55:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_glm' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:59:3'): q_models checks formula input ─────────────
Expected `policy_eval(policy_data = pd, policy = p_dynamic, q_models = q_glm(formula = ~ns(C)))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-q_models.R:64:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_xgboost' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:64:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:84:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:84:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:96:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:96:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:111:3'): q_rf formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:111:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:131:3'): q_sl formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:131:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:174:3'): q_sl can find user-defined learners ──────
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:174:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-q_models.R:205:3'): q_glm and q_sl(SL.library('SL.glm')) are (almost) equivalent ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-q_models.R:205:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:241:3'): q_glm handles missing covariates ─────────
`policy_eval(policy_data = pd, policy = p, type = "or", q_models = q_glm(~L))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:241:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:248:3'): q_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:248:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_sl.R:12:3'): q_sl with discreteSL = TRUE picks the learner with the lowest cvrisk. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_sl.R:12:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:11:3'): q_xgboost tunes parameters ─────────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:11:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:49:3'): q_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:49:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.6.2
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘optimal_subgroup.Rmd’ using rmarkdown
Quitting from optimal_subgroup.Rmd:113-121 [unnamed-chunk-3]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 11/11 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle (local) pl1(...)
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'optimal_subgroup.Rmd' failed with diagnostics:
attempt access index 11/11 in VECTOR_ELT
--- failed re-building ‘optimal_subgroup.Rmd’
--- re-building ‘policy_data.Rmd’ using rmarkdown
Quitting from policy_data.Rmd:114-117 [gethistwostage]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 12/12 in VECTOR_ELT
---
Backtrace:
▆
1. ├─utils::head(get_history(pd, stage = 1, full_history = TRUE)$H)
2. ├─polle::get_history(pd, stage = 1, full_history = TRUE)
3. └─polle:::get_history.policy_data(pd, stage = 1, full_history = TRUE)
4. └─polle:::full_history(object, stage = stage, event_set = event_set)
5. ├─...[]
6. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'policy_data.Rmd' failed with diagnostics:
attempt access index 12/12 in VECTOR_ELT
--- failed re-building ‘policy_data.Rmd’
--- re-building ‘policy_eval.Rmd’ using rmarkdown
Quitting from policy_eval.Rmd:53-57 [polevalp1]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 11/11 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle::policy_eval(policy_data = pd, policy = p1, type = "dr")
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'policy_eval.Rmd' failed with diagnostics:
attempt access index 11/11 in VECTOR_ELT
--- failed re-building ‘policy_eval.Rmd’
--- re-building ‘policy_learn.Rmd’ using rmarkdown
Quitting from policy_learn.Rmd:85-92 [plblipapply]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 11/11 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle (local) pl_blip(...)
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'policy_learn.Rmd' failed with diagnostics:
attempt access index 11/11 in VECTOR_ELT
--- failed re-building ‘policy_learn.Rmd’
--- re-building ‘right_censoring.Rmd’ using rmarkdown
Quitting from right_censoring.Rmd:214-225 [pe]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 12/12 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle::policy_eval(...)
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::fit_c_functions(policy_data, c_models = c_models, full_history = c_full_history)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'right_censoring.Rmd' failed with diagnostics:
attempt access index 12/12 in VECTOR_ELT
--- failed re-building ‘right_censoring.Rmd’
SUMMARY: processing the following files failed:
‘optimal_subgroup.Rmd’ ‘policy_data.Rmd’ ‘policy_eval.Rmd’
‘policy_learn.Rmd’ ‘right_censoring.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.6.2
Check: tests
Result: ERROR
Running ‘test-all.R’ [52s/63s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> suppressPackageStartupMessages(library("testthat"))
> options(Ncpus = 2)
> data.table::setDTthreads(2)
> test_check("polle")
Loading required package: polle
Loading required package: SuperLearner
Loading required package: nnls
Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.22-7
Super Learner
Version: 2.0-29
Package created on 2024-02-06
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[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-c_cox.R:92:3'): c_cox returns the expected output ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, event_set = c(0, 1, 2), stage = 2) at test-c_cox.R:92:3
2. └─polle:::get_history.policy_data(pd, event_set = c(0, 1, 2), stage = 2)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:123:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:123:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:138:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model1)` to equal `coef(fcf$stage_1$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:143:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model2)` to equal `coef(fcf$stage_2$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:149:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:164:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model1))` to equal `unname(coef(fcf$stage_1$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:169:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model2))` to equal `unname(coef(fcf$stage_2$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Error ('test-fit_c_functions.R:180:3'): fit_c_functions(): g_model's passed as the argument c_models are fitted and predicted correctly for discrete right-censoring: ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:180:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:240:3'): fit_c_functions() related errors to fitting the c-model. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:240:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:257:3'): fit_c_functions(): returns default right-censoring model for stages where no right-censoring occur, ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(...) at test-fit_c_functions.R:257:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Failure ('test-fit_functions.R:15:5'): fit_functions handle multiple thresholds ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 12/12 in VECTOR_ELT
── Error ('test-fit_functions.R:29:5'): fit_functions handle multiple thresholds ──
Error in `eval(code, test_env)`: object 'ff' not found
Backtrace:
▆
1. └─testthat::expect_is(ff$policy_object, class = "policy_object") at test-fit_functions.R:29:5
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error ('test-fit_functions.R:63:5'): crossfit_functions has the expected outcome ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 100) at test-fit_functions.R:75:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_functions.R:63:5
3. └─data.table:::`[.data.table`(...) at test-fit_functions.R:63:5
── Error ('test-fit_m_function.R:44:3'): fit_m_function has the expected output. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:44:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:44:3
── Error ('test-fit_m_function.R:181:3'): fit_m_function handles missing covariates (throws and error message that is related to the m-model) ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:181:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:181:3
── Error ('test-g_empir.R:36:3'): g_empir predictions in a single stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, new_policy_data = pd) at test-g_empir.R:36:3
2. └─polle:::predict.nuisance_functions(g_functions, new_policy_data = pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-g_empir.R:115:3'): g_empir predictions in a two stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-g_empir.R:115:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:40:3'): predict.g_functions checks the action set ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:40:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:55:3'): predict.g_functions checks the action set ──
`predict(gfit, pd2)` threw an error with unexpected message.
Expected match: "factor A_1 has new levels maybe"
Actual message: "object 'gfit' not found"
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd2), "factor A_1 has new levels maybe") at test-g_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd2)
── Error ('test-g_models.R:62:7'): predict.g_functions checks the action set ───
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test-g_models.R:60:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::predict.g_function(...) at test-g_models.R:62:7
5. └─base::getElement(object, "g_model")
── Failure ('test-g_models.R:99:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:99:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:103:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:103:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:108:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:108:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:112:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:112:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:124:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:124:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-g_models.R:149:3'): fit_g_function_cf saves the cross-fitted models ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-g_models.R:159:3'): fit_g_function_cf saves the cross-fitted models ──
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_true(all(!unlist(lapply(gfit$functions, is.null)))) at test-g_models.R:159:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unlist(lapply(gfit$functions, is.null))
5. └─base::lapply(gfit$functions, is.null)
── Failure ('test-g_models.R:252:3'): g_rf runs: ───────────────────────────────
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 13/13 in VECTOR_ELT
── Error ('test-g_models.R:262:3'): g_rf runs: ─────────────────────────────────
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─testthat::expect_is(pe, class = "policy_eval") at test-g_models.R:262:3
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-g_models.R:277:3'): g_sl formats data correctly via the formula ──
`policy_eval(...)` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:277:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:356:3'): g_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:356:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:388:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "NA/NaN/Inf in 'x'"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:388:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:396:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:396:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:403:3'): g_glm handles missing covariates ─────────
`... <- NULL` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:403:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:447:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:447:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:454:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:454:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-g_xgboost.R:27:3'): g_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_fun, pd) at test-g_xgboost.R:27:3
2. └─polle:::predict.nuisance_functions(g_fun, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:20:5'): get_history() checks input ───
`get_history(pd, stage = ss)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:19:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(get_history(pd, stage = ss), NA) at test-policy_data-functions.R:20:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = ss)
9. └─polle:::get_history.policy_data(pd, stage = ss)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:86:3'): full_history() returns the history associated with the action process when event_set = c(0). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:86:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:177:3'): full_history() returns the history associated with the event process when event_set = c(0,2). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:177:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:331:3'): full_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 1, 2)) at test-policy_data-functions.R:331:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:483:3'): stage_state_history() returns the history associated with the action process when event_set = c(0) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:483:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:573:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:573:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:722:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(...) at test-policy_data-functions.R:722:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:1211:5'): plot.policy_data() does not fail for right-censored data ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1222:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1211:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1211:5
── Error ('test-policy_data-functions.R:1268:5'): partial.policy_data() handles right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1279:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1268:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1268:5
── Error ('test-policy_def.R:11:3'): policy_def checks the action set ──────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_warning(p(pd), "The policy actions does not comply with the action set of the policy data object.") at test-policy_def.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:39:3'): policy_def handles static policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd))) at test-policy_def.R:39:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:119:3'): policy_def handles dynamic policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:119:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:170:7'): policy_def handles static policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─base::lapply(...) at test-policy_def.R:166:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd) * get_K(pd))) at test-policy_def.R:170:7
4. │ └─testthat::quasi_label(enquo(object), label)
5. │ └─rlang::eval_bare(expr, quo_get_env(quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:237:3'): policy_def handles dynamic policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:237:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:308:3'): policy_def handles a stochastic number of stages ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:308:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:132:3'): policy_eval checks input under right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:132:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:132:3
── Error ('test-policy_eval-censoring.R:244:3'): policy_eval with target 'value' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:244:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:678:3'): policy_eval returns the expected c_functions output when using c-models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-censoring.R:678:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
6. ├─polle::get_history(...)
7. └─polle:::get_history.policy_data(...)
8. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
9. ├─...[]
10. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:723:3'): policy_eval with target 'subgroup' has the correct output under right-censoring. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:723:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:723:3
── Error ('test-policy_eval-censoring.R:1062:3'): policy_eval() handles sparse censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1062:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1139:3'): policy_eval() handles abundant censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1139:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1288:3'): policy_eval with target 'value' has the expected output
for the two-stage case under right-censoring and terminal events. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1288:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:19:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemented for more than two actions."
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:19:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:38:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemeted for multiple stages."
Actual message: "attempt access index 10/10 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:38:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:64:5'): policy_eval with target 'subgroup' agrees with targeted::cate. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:64:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:185:3'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Expected `pe <- policy_eval(policy_data = pd, policy = p, target = "subgroup")` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval-subgroup.R:138:5'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle (local) test_output(pe) at test-policy_eval-subgroup.R:192:3
2. ├─testthat::expect_true(!is.null(coef(pe)) && is.numeric(coef(pe))) at test-policy_eval-subgroup.R:138:5
3. │ └─testthat::quasi_label(enquo(object), label)
4. │ └─rlang::eval_bare(expr, quo_get_env(quo))
5. └─stats::coef(pe)
── Error ('test-policy_eval-subgroup.R:283:5'): policy_eval with target 'subgroup' has the correct outputs: test2. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:283:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:360:3'): policy_eval with target 'subgroup' returns NA when no subjects are in the subgroup. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:360:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:477:3'): policy_eval with target 'subgroup' works with policy_learning with multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:477:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:633:3'): policy_eval with target 'subgroup' returns NA when the subgroup count is below the minimum. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:633:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:725:3'): policy_eval runs with policy_learn using quantile_prob_thres ──
`... <- NULL` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:725:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. └─polle:::policy_eval_cross(...)
8. ├─base::do.call(what = future.apply::future_lapply, cross_args)
9. └─future.apply (local) `<fn>`(...)
10. └─future.apply:::future_xapply(...)
11. └─base::tryCatch(...)
12. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. └─base (local) tryCatchOne(...)
14. └─value[[3L]](cond)
15. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:6:3'): policy_eval returns g and Q-function values. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:6:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:52:5'): policy_eval do not save g and Q-functions when
save_g_functions = FALSE and save_q_functions = FALSE. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:52:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:149:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_model = g_glm())` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_model = g_glm())
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:157:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:157:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:175:3'): policy_eval checks inputs. ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-policy_eval.R:175:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:276:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Expected `pe <- policy_eval(pd, policy = p, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:280:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(get_g_functions(pe), gf) at test-policy_eval.R:280:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_g_functions(pe)
── Failure ('test-policy_eval.R:351:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`pe1_ipw <- policy_eval(pd1, policy = policy_def(1), type = "ipw")` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:351:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(pd1, policy = policy_def(1), type = "ipw")
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:355:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`... <- NULL` threw an error.
Message: object 'pe1_ipw' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:355:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_g_functions(pe1_ipw)
── Error ('test-policy_eval.R:364:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
Error in `eval(code, test_env)`: object 'pe2_ipw' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe2_ipw)), 0) at test-policy_eval.R:364:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe2_ipw))
5. └─stats::coef(pe2_ipw)
── Failure ('test-policy_eval.R:409:3'): policy_eval handles varying stage action sets. ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:409:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:421:3'): policy_eval handles varying stage action sets. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "The policy actions does not comply with the stage action sets of the policy data object."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:421:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:438:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:447:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe_pooled' not found
Backtrace:
▆
1. ├─testthat::expect_true(is.numeric(coef(pe_pooled))) at test-policy_eval.R:447:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─stats::coef(pe_pooled)
── Error ('test-policy_eval.R:518:3'): policy_eval with target = 'value' agrees with targeted::cate in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:518:3
2. └─polle:::policy_eval_cross(...)
3. ├─base::do.call(what = future.apply::future_lapply, cross_args)
4. └─future.apply (local) `<fn>`(...)
5. └─future.apply:::future_xapply(...)
6. └─base::tryCatch(...)
7. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. └─base (local) tryCatchOne(...)
9. └─value[[3L]](cond)
10. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:564:3'): policy_eval with target 'value' has the correct outputs in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:564:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:708:3'): policy_eval passes nuisance models to policy_learn correctly ──
Expected `pe <- policy_eval(pd, policy_learn = pl, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:714:3'): policy_eval passes nuisance models to policy_learn correctly ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle::get_policy_object(pe) at test-policy_eval.R:714:3
── Error ('test-policy_eval.R:786:3'): policy_eval() using policy_learn() has the correct output ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:786:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:860:3'): policy_eval with target 'value' has the correct outputs for the fixed two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:860:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:917:3'): policy_eval with target 'value' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval.R:917:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1074:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Expected `{ ... }` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:1082:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1082:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval.R:1224:3'): conditional.policy_eval agrees with targeted::cate ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:1224:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1291:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Error ('test-policy_eval.R:1302:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1302:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Failure ('test-policy_eval.R:1380:3'): policy_eval() runs without covariates. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 9/9 in VECTOR_ELT
── Error ('test-policy_eval.R:1392:3'): policy_eval() runs without covariates. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1392:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval_online.R:19:3'): policy_eval_online() uses valid indexes for training and validation: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:19:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:70:3'): policy_eval_online has the expected output for target = 'value' in the single stage case: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:70:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:228:3'): policy_eval_sequential has the expected output in the single stage case for target = 'subgroup' ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:228:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_g_functions.R:16:3'): policy_g_functions returns a policy which selects the most probable action. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, pd) at test-policy_g_functions.R:16:3
2. └─polle:::predict.nuisance_functions(g_functions, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip-censoring.R:37:3'): policy_learn with type 'blip' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip-censoring.R:37:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:17:5'): policy_learn with type blip works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-blip.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-blip.R:17:5
5. ├─base::do.call(what = call, args)
6. └─polle:::blip(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:88:3'): get_policy_functions.blip returns a list of policy functions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:88:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:165:3'): get_policy.blip returns a policy ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:165:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:235:3'): policy_learn with type blip is persistent in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:235:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:275:3'): policy_learn with type blip passes the threshold argument in the single-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:275:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:309:3'): get_policy.blip uses the threshold argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:309:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:370:3'): policy_learn with type blip uses the threshold argument in the two-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:370:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:410:3'): get_policy and get_policy_functions agree with type blip and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:410:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:458:3'): get_policy.blip() returns multiple policies when given multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:458:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:513:3'): policy_learn with type blip uses the quantile_threshold argument. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:513:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:576:3'): policy_learn with type 'blip' has the expected output for a fixed two-stage case with a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:576:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:758:3'): policy_learn with type 'blip' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:758:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:11:3'): get_policy.drql returns a policy ──
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-drql.R:12:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::drql(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:16:3'): get_policy.drql returns a policy ───
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-drql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-drql.R:54:3'): policy_learn with type = 'drql' checks input ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:54:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:95:3'): policy_learn with type drql works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:95:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:189:3'): policy_learn with type drql handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:189:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::drql(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:193:3'): policy_learn with type drql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-drql.R:193:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-drql.R:198:3'): policy_learn with type drql handles varying action sets ──
`pf1 <- get_policy_functions(po, stage = 1)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:198:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po, stage = 1)
── Error ('test-policy_learn-drql.R:202:3'): policy_learn with type drql handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1, full_history = FALSE) at test-policy_learn-drql.R:202:3
2. └─polle:::get_history.policy_data(pd, stage = 1, full_history = FALSE)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:361:3'): policy_learn with type = 'drql' uses the cross_fit_g_models argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, list(g_empir(), g_empir()), full_history = FALSE) at test-policy_learn-drql.R:361:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:401:3'): policy_learn with type = 'drql' saves cross-fitted models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = list(g_empir(), g_empir()), q_models = q_glm()) at test-policy_learn-drql.R:401:3
2. ├─base::do.call(what = call, args)
3. └─polle:::drql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:457:3'): policy_learn with type drql handles multiple stages with varying stage action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─base::suppressWarnings(...) at test-policy_learn-drql.R:457:3
2. │ └─base::withCallingHandlers(...)
3. └─polle::policy_eval(...)
4. ├─base::do.call(what = policy_eval_type, args = args)
5. └─polle (local) `<fn>`(...)
6. └─polle:::fit_functions(...)
7. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
8. └─base::lapply(...)
9. └─polle (local) FUN(X[[i]], ...)
10. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:26:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(policy_data = pd1, g_models = g_glm()) at test-policy_learn-owl.R:26:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:69:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the two stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-owl.R:69:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:135:3'): policy_learn with type owl runs as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-owl.R:135:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:9:3'): get_policy.ptl returns a policy ────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:9:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-ptl.R:10:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::ptl(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:15:3'): get_policy.ptl returns a policy ─────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ptl.R:15:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Failure ('test-policy_learn-ptl.R:45:3'): policy_learn with type ptl works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-ptl.R:47:7
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:56:3'): policy_learn with type ptl works as intended ──
Error in `eval(code, test_env)`: object 'po' not found
Backtrace:
▆
1. ├─testthat::expect_s3_class(get_policy(po)(pd), "data.table") at test-policy_learn-ptl.R:56:3
2. │ └─testthat::quasi_label(enquo(object))
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:110:3'): policy_learn with type ptl handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:110:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:114:3'): policy_learn with type ptl handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ptl.R:114:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:119:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:119:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:147:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:147:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) pl2(pd2, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::crossfit_function(...)
10. ├─base::do.call(what = future.apply::future_lapply, future_args)
11. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
12. └─future.apply:::future_xapply(...)
13. └─base::tryCatch(...)
14. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
15. └─base (local) tryCatchOne(...)
16. └─value[[3L]](cond)
17. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-policy_learn-ptl.R:151:3'): policy_learn with type ptl handles varying action sets ──
`pa2 <- get_policy(po2)(pd2)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa2 <- get_policy(po2)(pd2), NA) at test-policy_learn-ptl.R:151:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po2)
── Failure ('test-policy_learn-ptl.R:155:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:155:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:163:3'): policy_learn with type ptl handles varying action sets ──
`pf2_1 <- get_policy_functions(po2, stage = 1)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:163:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po2, stage = 1)
── Error ('test-policy_learn-ptl.R:167:3'): policy_learn with type ptl handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd2, stage = 1) at test-policy_learn-ptl.R:167:3
2. └─polle:::get_history.policy_data(pd2, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:208:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `po <- pl(policy_data = pd, g_models = g_glm(), q_models = q_glm())` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-policy_learn-ptl.R:216:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Failure ('test-policy_learn-ptl.R:220:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `unlist(lapply(pf, function(x) attr(x, "name")))` to equal `paste0("ptl(eta=", c(0, 0.5, 1), ")")`.
Differences:
target is NULL, current is character
── Failure ('test-policy_learn-ptl.R:225:3'): policy_learn with type = 'ptl' works with thresholds. ──
`pf <- get_policy(po, threshold = 2)` threw an error with unexpected message.
Expected match: "Invalid threshold. Choose between 0, 0.5, 1"
Actual message: "object 'po' not found"
Backtrace:
▆
1. ├─testthat::expect_error(pf <- get_policy(po, threshold = 2), "Invalid threshold. Choose between 0, 0.5, 1") at test-policy_learn-ptl.R:225:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po, threshold = 2)
── Failure ('test-policy_learn-ptl.R:230:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po, threshold = 0.5)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Error ('test-policy_learn-ptl.R:234:3'): policy_learn with type = 'ptl' works with thresholds. ──
<getvarError/missingArgError/error/condition>
Error in `pf(pd)`: argument "df1" is missing, with no default
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-ptl.R:234:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─data.table::is.data.table(pf(pd))
5. └─stats::pf(pd)
── Error ('test-policy_learn-ptl.R:263:3'): get_policy and get_policy_functions agree with type ptl and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ptl.R:263:3
2. ├─base::do.call(what = call, args)
3. └─polle:::ptl(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:10:3'): get_policy.ql returns a policy ─────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:10:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm())) at test-policy_learn-ql.R:12:7
7. └─polle:::pl(pd, q_models = q_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::rql(...)
10. └─polle:::q_step(...)
11. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
12. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:16:3'): get_policy.ql returns a policy ───────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-ql.R:36:3'): get_policy_functions.ql agrees with get_policy.ql ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:36:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:113:3'): get_policy_functions.ql handles deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:113:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:186:3'): get_policy_functions.ql handles partially missing deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:186:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:255:3'): get_policy_functions.ql handles realistic actions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ql.R:255:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:327:3'): get_policy_functions.ql handles varying stage action set ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_empir())) at test-policy_learn-ql.R:327:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:369:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = q_glm())` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:369:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:373:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = list(q_glm(), q_glm()))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:373:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = list(q_glm(), q_glm()))
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:387:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:387:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm(), g_glm()) at test-policy_learn-ql.R:388:5
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:391:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:391:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po) at test-policy_learn-ql.R:392:5
── Error ('test-policy_learn-ql.R:395:3'): policy_learn with type = 'ql' works as intended ──
Error in `p(pd)`: could not find function "p"
Backtrace:
▆
1. └─testthat::expect_s3_class(p(pd), class = "data.table") at test-policy_learn-ql.R:395:3
2. └─testthat::quasi_label(enquo(object))
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-policy_learn-ql.R:412:3'): policy_learn with type ql handles varying action sets ──
`po <- pl(pd, q_models = q_glm())` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(po <- pl(pd, q_models = q_glm()), NA) at test-policy_learn-ql.R:412:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:416:3'): policy_learn with type ql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ql.R:416:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ql.R:420:3'): policy_learn with type ql handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:420:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn.R:39:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:39:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:45:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0.1))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:53:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = TRUE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:53:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:59:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = FALSE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:59:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:294:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'drql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:294:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:305:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:305:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:316:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'ptl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:316:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:327:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'earl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:327:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:338:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rwl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:338:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:349:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'owl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:349:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:9:3'): predict.q_glmnet return a vector ─────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1) at test-q_glmnet.R:9:3
2. └─polle:::get_history.policy_data(pd, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:33:5'): q_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:33:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:70:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:70:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:79:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:79:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:156:3'): testing that q_glmnet returns the prediction associated with lambda.min ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-q_glmnet.R:156:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:18:3'): fit_q_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:18:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:22:3'): fit_q_functions handles varying stage-action sets ──
`tmp <- predict(qfit, pd)` threw an error.
Message: object 'qfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(tmp <- predict(qfit, pd), NA) at test-q_models.R:22:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(qfit, pd)
── Error ('test-q_models.R:27:3'): fit_q_functions handles varying stage-action sets ──
Error in `eval(code, test_env)`: object 'qfit' not found
Backtrace:
▆
1. └─stats::predict(...) at test-q_models.R:27:3
── Failure ('test-q_models.R:55:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_glm' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:59:3'): q_models checks formula input ─────────────
Expected `policy_eval(policy_data = pd, policy = p_dynamic, q_models = q_glm(formula = ~ns(C)))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-q_models.R:64:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_xgboost' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:64:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:84:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:84:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:96:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:96:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:111:3'): q_rf formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:111:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:131:3'): q_sl formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:131:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:174:3'): q_sl can find user-defined learners ──────
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:174:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-q_models.R:205:3'): q_glm and q_sl(SL.library('SL.glm')) are (almost) equivalent ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-q_models.R:205:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:241:3'): q_glm handles missing covariates ─────────
`policy_eval(policy_data = pd, policy = p, type = "or", q_models = q_glm(~L))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:241:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:248:3'): q_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:248:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_sl.R:12:3'): q_sl with discreteSL = TRUE picks the learner with the lowest cvrisk. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_sl.R:12:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:11:3'): q_xgboost tunes parameters ─────────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:11:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:49:3'): q_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:49:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.6.2
Check: examples
Result: ERROR
Running examples in ‘polle-Ex.R’ failed
The error most likely occurred in:
> ### Name: conditional
> ### Title: Conditional Policy Evaluation
> ### Aliases: conditional
>
> ### ** Examples
>
> library("polle")
> library("data.table")
Attaching package: ‘data.table’
The following object is masked from ‘package:base’:
%notin%
> setDTthreads(1)
> d <- sim_single_stage(n=2e3)
> pd <- policy_data(d,
+ action = "A",
+ baseline = c("B"),
+ covariates = c("Z","L"),
+ utility = "U")
>
> # static policy:
> p <- policy_def(1)
>
> pe <- policy_eval(pd,
+ policy = p)
Error in `[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * :
attempt access index 11/11 in VECTOR_ELT
Calls: policy_eval ... get_history.policy_data -> stage_state_history -> [ -> [.data.table
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.6.2
Check: tests
Result: ERROR
Running ‘test-all.R’ [131s/204s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> suppressPackageStartupMessages(library("testthat"))
> options(Ncpus = 2)
> data.table::setDTthreads(2)
> test_check("polle")
Loading required package: polle
Loading required package: SuperLearner
Loading required package: nnls
Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.22-7
Super Learner
Version: 2.0-29
Package created on 2024-02-06
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[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-c_cox.R:92:3'): c_cox returns the expected output ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, event_set = c(0, 1, 2), stage = 2) at test-c_cox.R:92:3
2. └─polle:::get_history.policy_data(pd, event_set = c(0, 1, 2), stage = 2)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:123:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:123:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:138:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model1)` to equal `coef(fcf$stage_1$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:143:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model2)` to equal `coef(fcf$stage_2$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:149:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:164:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model1))` to equal `unname(coef(fcf$stage_1$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:169:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model2))` to equal `unname(coef(fcf$stage_2$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Error ('test-fit_c_functions.R:180:3'): fit_c_functions(): g_model's passed as the argument c_models are fitted and predicted correctly for discrete right-censoring: ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:180:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:240:3'): fit_c_functions() related errors to fitting the c-model. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:240:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:257:3'): fit_c_functions(): returns default right-censoring model for stages where no right-censoring occur, ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(...) at test-fit_c_functions.R:257:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Failure ('test-fit_functions.R:15:5'): fit_functions handle multiple thresholds ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 12/12 in VECTOR_ELT
── Error ('test-fit_functions.R:29:5'): fit_functions handle multiple thresholds ──
Error in `eval(code, test_env)`: object 'ff' not found
Backtrace:
▆
1. └─testthat::expect_is(ff$policy_object, class = "policy_object") at test-fit_functions.R:29:5
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error ('test-fit_functions.R:63:5'): crossfit_functions has the expected outcome ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 100) at test-fit_functions.R:75:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_functions.R:63:5
3. └─data.table:::`[.data.table`(...) at test-fit_functions.R:63:5
── Error ('test-fit_m_function.R:44:3'): fit_m_function has the expected output. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:44:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:44:3
── Error ('test-fit_m_function.R:181:3'): fit_m_function handles missing covariates (throws and error message that is related to the m-model) ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:181:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:181:3
── Error ('test-g_empir.R:36:3'): g_empir predictions in a single stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, new_policy_data = pd) at test-g_empir.R:36:3
2. └─polle:::predict.nuisance_functions(g_functions, new_policy_data = pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-g_empir.R:115:3'): g_empir predictions in a two stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-g_empir.R:115:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:40:3'): predict.g_functions checks the action set ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:40:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:55:3'): predict.g_functions checks the action set ──
`predict(gfit, pd2)` threw an error with unexpected message.
Expected match: "factor A_1 has new levels maybe"
Actual message: "object 'gfit' not found"
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd2), "factor A_1 has new levels maybe") at test-g_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd2)
── Error ('test-g_models.R:62:7'): predict.g_functions checks the action set ───
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test-g_models.R:60:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::predict.g_function(...) at test-g_models.R:62:7
5. └─base::getElement(object, "g_model")
── Failure ('test-g_models.R:99:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:99:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:103:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:103:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:108:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:108:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:112:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:112:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:124:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:124:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-g_models.R:149:3'): fit_g_function_cf saves the cross-fitted models ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-g_models.R:159:3'): fit_g_function_cf saves the cross-fitted models ──
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_true(all(!unlist(lapply(gfit$functions, is.null)))) at test-g_models.R:159:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unlist(lapply(gfit$functions, is.null))
5. └─base::lapply(gfit$functions, is.null)
── Failure ('test-g_models.R:252:3'): g_rf runs: ───────────────────────────────
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 13/13 in VECTOR_ELT
── Error ('test-g_models.R:262:3'): g_rf runs: ─────────────────────────────────
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─testthat::expect_is(pe, class = "policy_eval") at test-g_models.R:262:3
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-g_models.R:277:3'): g_sl formats data correctly via the formula ──
`policy_eval(...)` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:277:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:356:3'): g_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:356:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:388:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "NA/NaN/Inf in 'x'"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:388:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:396:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:396:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:403:3'): g_glm handles missing covariates ─────────
`... <- NULL` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:403:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:447:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:447:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:454:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:454:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-g_xgboost.R:27:3'): g_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_fun, pd) at test-g_xgboost.R:27:3
2. └─polle:::predict.nuisance_functions(g_fun, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:20:5'): get_history() checks input ───
`get_history(pd, stage = ss)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:19:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(get_history(pd, stage = ss), NA) at test-policy_data-functions.R:20:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = ss)
9. └─polle:::get_history.policy_data(pd, stage = ss)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:86:3'): full_history() returns the history associated with the action process when event_set = c(0). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:86:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:177:3'): full_history() returns the history associated with the event process when event_set = c(0,2). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:177:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:331:3'): full_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 1, 2)) at test-policy_data-functions.R:331:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:483:3'): stage_state_history() returns the history associated with the action process when event_set = c(0) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:483:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:573:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:573:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:722:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(...) at test-policy_data-functions.R:722:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:1211:5'): plot.policy_data() does not fail for right-censored data ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1222:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1211:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1211:5
── Error ('test-policy_data-functions.R:1268:5'): partial.policy_data() handles right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1279:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1268:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1268:5
── Error ('test-policy_def.R:11:3'): policy_def checks the action set ──────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_warning(p(pd), "The policy actions does not comply with the action set of the policy data object.") at test-policy_def.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:39:3'): policy_def handles static policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd))) at test-policy_def.R:39:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:119:3'): policy_def handles dynamic policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:119:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:170:7'): policy_def handles static policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─base::lapply(...) at test-policy_def.R:166:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd) * get_K(pd))) at test-policy_def.R:170:7
4. │ └─testthat::quasi_label(enquo(object), label)
5. │ └─rlang::eval_bare(expr, quo_get_env(quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:237:3'): policy_def handles dynamic policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:237:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:308:3'): policy_def handles a stochastic number of stages ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:308:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:132:3'): policy_eval checks input under right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:132:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:132:3
── Error ('test-policy_eval-censoring.R:244:3'): policy_eval with target 'value' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:244:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:678:3'): policy_eval returns the expected c_functions output when using c-models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-censoring.R:678:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
6. ├─polle::get_history(...)
7. └─polle:::get_history.policy_data(...)
8. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
9. ├─...[]
10. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:723:3'): policy_eval with target 'subgroup' has the correct output under right-censoring. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:723:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:723:3
── Error ('test-policy_eval-censoring.R:1062:3'): policy_eval() handles sparse censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1062:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1139:3'): policy_eval() handles abundant censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1139:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1288:3'): policy_eval with target 'value' has the expected output
for the two-stage case under right-censoring and terminal events. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1288:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:19:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemented for more than two actions."
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:19:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:38:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemeted for multiple stages."
Actual message: "attempt access index 10/10 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:38:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:64:5'): policy_eval with target 'subgroup' agrees with targeted::cate. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:64:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:185:3'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Expected `pe <- policy_eval(policy_data = pd, policy = p, target = "subgroup")` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval-subgroup.R:138:5'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle (local) test_output(pe) at test-policy_eval-subgroup.R:192:3
2. ├─testthat::expect_true(!is.null(coef(pe)) && is.numeric(coef(pe))) at test-policy_eval-subgroup.R:138:5
3. │ └─testthat::quasi_label(enquo(object), label)
4. │ └─rlang::eval_bare(expr, quo_get_env(quo))
5. └─stats::coef(pe)
── Error ('test-policy_eval-subgroup.R:283:5'): policy_eval with target 'subgroup' has the correct outputs: test2. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:283:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:360:3'): policy_eval with target 'subgroup' returns NA when no subjects are in the subgroup. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:360:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:477:3'): policy_eval with target 'subgroup' works with policy_learning with multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:477:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:633:3'): policy_eval with target 'subgroup' returns NA when the subgroup count is below the minimum. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:633:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:725:3'): policy_eval runs with policy_learn using quantile_prob_thres ──
`... <- NULL` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:725:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. └─polle:::policy_eval_cross(...)
8. ├─base::do.call(what = future.apply::future_lapply, cross_args)
9. └─future.apply (local) `<fn>`(...)
10. └─future.apply:::future_xapply(...)
11. └─base::tryCatch(...)
12. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. └─base (local) tryCatchOne(...)
14. └─value[[3L]](cond)
15. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:6:3'): policy_eval returns g and Q-function values. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:6:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:52:5'): policy_eval do not save g and Q-functions when
save_g_functions = FALSE and save_q_functions = FALSE. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:52:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:149:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_model = g_glm())` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_model = g_glm())
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:157:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:157:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:175:3'): policy_eval checks inputs. ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-policy_eval.R:175:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:276:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Expected `pe <- policy_eval(pd, policy = p, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:280:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(get_g_functions(pe), gf) at test-policy_eval.R:280:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_g_functions(pe)
── Failure ('test-policy_eval.R:351:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`pe1_ipw <- policy_eval(pd1, policy = policy_def(1), type = "ipw")` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:351:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(pd1, policy = policy_def(1), type = "ipw")
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:355:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`... <- NULL` threw an error.
Message: object 'pe1_ipw' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:355:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_g_functions(pe1_ipw)
── Error ('test-policy_eval.R:364:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
Error in `eval(code, test_env)`: object 'pe2_ipw' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe2_ipw)), 0) at test-policy_eval.R:364:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe2_ipw))
5. └─stats::coef(pe2_ipw)
── Failure ('test-policy_eval.R:409:3'): policy_eval handles varying stage action sets. ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:409:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:421:3'): policy_eval handles varying stage action sets. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "The policy actions does not comply with the stage action sets of the policy data object."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:421:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:438:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:447:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe_pooled' not found
Backtrace:
▆
1. ├─testthat::expect_true(is.numeric(coef(pe_pooled))) at test-policy_eval.R:447:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─stats::coef(pe_pooled)
── Error ('test-policy_eval.R:518:3'): policy_eval with target = 'value' agrees with targeted::cate in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:518:3
2. └─polle:::policy_eval_cross(...)
3. ├─base::do.call(what = future.apply::future_lapply, cross_args)
4. └─future.apply (local) `<fn>`(...)
5. └─future.apply:::future_xapply(...)
6. └─base::tryCatch(...)
7. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. └─base (local) tryCatchOne(...)
9. └─value[[3L]](cond)
10. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:564:3'): policy_eval with target 'value' has the correct outputs in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:564:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:708:3'): policy_eval passes nuisance models to policy_learn correctly ──
Expected `pe <- policy_eval(pd, policy_learn = pl, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:714:3'): policy_eval passes nuisance models to policy_learn correctly ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle::get_policy_object(pe) at test-policy_eval.R:714:3
── Error ('test-policy_eval.R:786:3'): policy_eval() using policy_learn() has the correct output ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:786:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:860:3'): policy_eval with target 'value' has the correct outputs for the fixed two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:860:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:917:3'): policy_eval with target 'value' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval.R:917:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1074:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Expected `{ ... }` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:1082:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1082:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval.R:1224:3'): conditional.policy_eval agrees with targeted::cate ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:1224:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1291:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Error ('test-policy_eval.R:1302:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1302:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Failure ('test-policy_eval.R:1380:3'): policy_eval() runs without covariates. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 9/9 in VECTOR_ELT
── Error ('test-policy_eval.R:1392:3'): policy_eval() runs without covariates. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1392:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval_online.R:19:3'): policy_eval_online() uses valid indexes for training and validation: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:19:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:70:3'): policy_eval_online has the expected output for target = 'value' in the single stage case: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:70:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:228:3'): policy_eval_sequential has the expected output in the single stage case for target = 'subgroup' ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:228:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_g_functions.R:16:3'): policy_g_functions returns a policy which selects the most probable action. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, pd) at test-policy_g_functions.R:16:3
2. └─polle:::predict.nuisance_functions(g_functions, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip-censoring.R:37:3'): policy_learn with type 'blip' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip-censoring.R:37:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:17:5'): policy_learn with type blip works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-blip.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-blip.R:17:5
5. ├─base::do.call(what = call, args)
6. └─polle:::blip(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:88:3'): get_policy_functions.blip returns a list of policy functions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:88:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:165:3'): get_policy.blip returns a policy ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:165:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:235:3'): policy_learn with type blip is persistent in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:235:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:275:3'): policy_learn with type blip passes the threshold argument in the single-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:275:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:309:3'): get_policy.blip uses the threshold argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:309:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:370:3'): policy_learn with type blip uses the threshold argument in the two-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:370:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:410:3'): get_policy and get_policy_functions agree with type blip and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:410:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:458:3'): get_policy.blip() returns multiple policies when given multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:458:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:513:3'): policy_learn with type blip uses the quantile_threshold argument. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:513:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:576:3'): policy_learn with type 'blip' has the expected output for a fixed two-stage case with a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:576:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:758:3'): policy_learn with type 'blip' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:758:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:11:3'): get_policy.drql returns a policy ──
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-drql.R:12:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::drql(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:16:3'): get_policy.drql returns a policy ───
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-drql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-drql.R:54:3'): policy_learn with type = 'drql' checks input ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:54:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:95:3'): policy_learn with type drql works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:95:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:189:3'): policy_learn with type drql handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:189:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::drql(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:193:3'): policy_learn with type drql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-drql.R:193:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-drql.R:198:3'): policy_learn with type drql handles varying action sets ──
`pf1 <- get_policy_functions(po, stage = 1)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:198:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po, stage = 1)
── Error ('test-policy_learn-drql.R:202:3'): policy_learn with type drql handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1, full_history = FALSE) at test-policy_learn-drql.R:202:3
2. └─polle:::get_history.policy_data(pd, stage = 1, full_history = FALSE)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:361:3'): policy_learn with type = 'drql' uses the cross_fit_g_models argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, list(g_empir(), g_empir()), full_history = FALSE) at test-policy_learn-drql.R:361:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:401:3'): policy_learn with type = 'drql' saves cross-fitted models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = list(g_empir(), g_empir()), q_models = q_glm()) at test-policy_learn-drql.R:401:3
2. ├─base::do.call(what = call, args)
3. └─polle:::drql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:457:3'): policy_learn with type drql handles multiple stages with varying stage action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─base::suppressWarnings(...) at test-policy_learn-drql.R:457:3
2. │ └─base::withCallingHandlers(...)
3. └─polle::policy_eval(...)
4. ├─base::do.call(what = policy_eval_type, args = args)
5. └─polle (local) `<fn>`(...)
6. └─polle:::fit_functions(...)
7. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
8. └─base::lapply(...)
9. └─polle (local) FUN(X[[i]], ...)
10. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:26:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(policy_data = pd1, g_models = g_glm()) at test-policy_learn-owl.R:26:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:69:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the two stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-owl.R:69:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:135:3'): policy_learn with type owl runs as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-owl.R:135:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:9:3'): get_policy.ptl returns a policy ────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:9:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-ptl.R:10:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::ptl(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:15:3'): get_policy.ptl returns a policy ─────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ptl.R:15:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Failure ('test-policy_learn-ptl.R:45:3'): policy_learn with type ptl works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-ptl.R:47:7
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:56:3'): policy_learn with type ptl works as intended ──
Error in `eval(code, test_env)`: object 'po' not found
Backtrace:
▆
1. ├─testthat::expect_s3_class(get_policy(po)(pd), "data.table") at test-policy_learn-ptl.R:56:3
2. │ └─testthat::quasi_label(enquo(object))
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:110:3'): policy_learn with type ptl handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:110:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:114:3'): policy_learn with type ptl handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ptl.R:114:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:119:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:119:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:147:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:147:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) pl2(pd2, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::crossfit_function(...)
10. ├─base::do.call(what = future.apply::future_lapply, future_args)
11. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
12. └─future.apply:::future_xapply(...)
13. └─base::tryCatch(...)
14. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
15. └─base (local) tryCatchOne(...)
16. └─value[[3L]](cond)
17. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-policy_learn-ptl.R:151:3'): policy_learn with type ptl handles varying action sets ──
`pa2 <- get_policy(po2)(pd2)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa2 <- get_policy(po2)(pd2), NA) at test-policy_learn-ptl.R:151:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po2)
── Failure ('test-policy_learn-ptl.R:155:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:155:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:163:3'): policy_learn with type ptl handles varying action sets ──
`pf2_1 <- get_policy_functions(po2, stage = 1)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:163:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po2, stage = 1)
── Error ('test-policy_learn-ptl.R:167:3'): policy_learn with type ptl handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd2, stage = 1) at test-policy_learn-ptl.R:167:3
2. └─polle:::get_history.policy_data(pd2, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:208:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `po <- pl(policy_data = pd, g_models = g_glm(), q_models = q_glm())` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-policy_learn-ptl.R:216:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Failure ('test-policy_learn-ptl.R:220:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `unlist(lapply(pf, function(x) attr(x, "name")))` to equal `paste0("ptl(eta=", c(0, 0.5, 1), ")")`.
Differences:
target is NULL, current is character
── Failure ('test-policy_learn-ptl.R:225:3'): policy_learn with type = 'ptl' works with thresholds. ──
`pf <- get_policy(po, threshold = 2)` threw an error with unexpected message.
Expected match: "Invalid threshold. Choose between 0, 0.5, 1"
Actual message: "object 'po' not found"
Backtrace:
▆
1. ├─testthat::expect_error(pf <- get_policy(po, threshold = 2), "Invalid threshold. Choose between 0, 0.5, 1") at test-policy_learn-ptl.R:225:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po, threshold = 2)
── Failure ('test-policy_learn-ptl.R:230:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po, threshold = 0.5)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Error ('test-policy_learn-ptl.R:234:3'): policy_learn with type = 'ptl' works with thresholds. ──
<getvarError/missingArgError/error/condition>
Error in `pf(pd)`: argument "df1" is missing, with no default
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-ptl.R:234:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─data.table::is.data.table(pf(pd))
5. └─stats::pf(pd)
── Error ('test-policy_learn-ptl.R:263:3'): get_policy and get_policy_functions agree with type ptl and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ptl.R:263:3
2. ├─base::do.call(what = call, args)
3. └─polle:::ptl(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:10:3'): get_policy.ql returns a policy ─────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:10:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm())) at test-policy_learn-ql.R:12:7
7. └─polle:::pl(pd, q_models = q_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::rql(...)
10. └─polle:::q_step(...)
11. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
12. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:16:3'): get_policy.ql returns a policy ───────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-ql.R:36:3'): get_policy_functions.ql agrees with get_policy.ql ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:36:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:113:3'): get_policy_functions.ql handles deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:113:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:186:3'): get_policy_functions.ql handles partially missing deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:186:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:255:3'): get_policy_functions.ql handles realistic actions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ql.R:255:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:327:3'): get_policy_functions.ql handles varying stage action set ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_empir())) at test-policy_learn-ql.R:327:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:369:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = q_glm())` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:369:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:373:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = list(q_glm(), q_glm()))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:373:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = list(q_glm(), q_glm()))
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:387:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:387:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm(), g_glm()) at test-policy_learn-ql.R:388:5
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:391:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:391:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po) at test-policy_learn-ql.R:392:5
── Error ('test-policy_learn-ql.R:395:3'): policy_learn with type = 'ql' works as intended ──
Error in `p(pd)`: could not find function "p"
Backtrace:
▆
1. └─testthat::expect_s3_class(p(pd), class = "data.table") at test-policy_learn-ql.R:395:3
2. └─testthat::quasi_label(enquo(object))
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-policy_learn-ql.R:412:3'): policy_learn with type ql handles varying action sets ──
`po <- pl(pd, q_models = q_glm())` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(po <- pl(pd, q_models = q_glm()), NA) at test-policy_learn-ql.R:412:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:416:3'): policy_learn with type ql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ql.R:416:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ql.R:420:3'): policy_learn with type ql handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:420:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn.R:39:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:39:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:45:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0.1))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:53:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = TRUE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:53:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:59:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = FALSE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:59:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:294:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'drql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:294:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:305:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:305:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:316:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'ptl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:316:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:327:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'earl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:327:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:338:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rwl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:338:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:349:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'owl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:349:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:9:3'): predict.q_glmnet return a vector ─────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1) at test-q_glmnet.R:9:3
2. └─polle:::get_history.policy_data(pd, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:33:5'): q_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:33:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:70:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:70:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:79:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:79:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:156:3'): testing that q_glmnet returns the prediction associated with lambda.min ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-q_glmnet.R:156:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:18:3'): fit_q_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:18:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:22:3'): fit_q_functions handles varying stage-action sets ──
`tmp <- predict(qfit, pd)` threw an error.
Message: object 'qfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(tmp <- predict(qfit, pd), NA) at test-q_models.R:22:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(qfit, pd)
── Error ('test-q_models.R:27:3'): fit_q_functions handles varying stage-action sets ──
Error in `eval(code, test_env)`: object 'qfit' not found
Backtrace:
▆
1. └─stats::predict(...) at test-q_models.R:27:3
── Failure ('test-q_models.R:55:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_glm' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:59:3'): q_models checks formula input ─────────────
Expected `policy_eval(policy_data = pd, policy = p_dynamic, q_models = q_glm(formula = ~ns(C)))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-q_models.R:64:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_xgboost' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:64:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:84:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:84:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:96:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:96:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:111:3'): q_rf formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:111:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:131:3'): q_sl formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:131:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:174:3'): q_sl can find user-defined learners ──────
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:174:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-q_models.R:205:3'): q_glm and q_sl(SL.library('SL.glm')) are (almost) equivalent ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-q_models.R:205:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:241:3'): q_glm handles missing covariates ─────────
`policy_eval(policy_data = pd, policy = p, type = "or", q_models = q_glm(~L))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:241:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:248:3'): q_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:248:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_sl.R:12:3'): q_sl with discreteSL = TRUE picks the learner with the lowest cvrisk. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_sl.R:12:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:11:3'): q_xgboost tunes parameters ─────────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:11:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:49:3'): q_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:49:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.6.2
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘optimal_subgroup.Rmd’ using rmarkdown
Quitting from optimal_subgroup.Rmd:113-121 [unnamed-chunk-3]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 11/11 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle (local) pl1(...)
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'optimal_subgroup.Rmd' failed with diagnostics:
attempt access index 11/11 in VECTOR_ELT
--- failed re-building ‘optimal_subgroup.Rmd’
--- re-building ‘policy_data.Rmd’ using rmarkdown
Quitting from policy_data.Rmd:114-117 [gethistwostage]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 12/12 in VECTOR_ELT
---
Backtrace:
▆
1. ├─utils::head(get_history(pd, stage = 1, full_history = TRUE)$H)
2. ├─polle::get_history(pd, stage = 1, full_history = TRUE)
3. └─polle:::get_history.policy_data(pd, stage = 1, full_history = TRUE)
4. └─polle:::full_history(object, stage = stage, event_set = event_set)
5. ├─...[]
6. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'policy_data.Rmd' failed with diagnostics:
attempt access index 12/12 in VECTOR_ELT
--- failed re-building ‘policy_data.Rmd’
--- re-building ‘policy_eval.Rmd’ using rmarkdown
Quitting from policy_eval.Rmd:53-57 [polevalp1]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 11/11 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle::policy_eval(policy_data = pd, policy = p1, type = "dr")
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'policy_eval.Rmd' failed with diagnostics:
attempt access index 11/11 in VECTOR_ELT
--- failed re-building ‘policy_eval.Rmd’
--- re-building ‘policy_learn.Rmd’ using rmarkdown
Quitting from policy_learn.Rmd:85-92 [plblipapply]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 11/11 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle (local) pl_blip(...)
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'policy_learn.Rmd' failed with diagnostics:
attempt access index 11/11 in VECTOR_ELT
--- failed re-building ‘policy_learn.Rmd’
--- re-building ‘right_censoring.Rmd’ using rmarkdown
Quitting from right_censoring.Rmd:214-225 [pe]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `[.data.table`:
! attempt access index 12/12 in VECTOR_ELT
---
Backtrace:
▆
1. └─polle::policy_eval(...)
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::fit_c_functions(policy_data, c_models = c_models, full_history = c_full_history)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'right_censoring.Rmd' failed with diagnostics:
attempt access index 12/12 in VECTOR_ELT
--- failed re-building ‘right_censoring.Rmd’
SUMMARY: processing the following files failed:
‘optimal_subgroup.Rmd’ ‘policy_data.Rmd’ ‘policy_eval.Rmd’
‘policy_learn.Rmd’ ‘right_censoring.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.6.2
Check: tests
Result: ERROR
Running ‘test-all.R’ [119s/141s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> suppressPackageStartupMessages(library("testthat"))
> options(Ncpus = 2)
> data.table::setDTthreads(2)
> test_check("polle")
Loading required package: polle
Loading required package: SuperLearner
Loading required package: nnls
Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.22-7
Super Learner
Version: 2.0-29
Package created on 2024-02-06
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[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-c_cox.R:92:3'): c_cox returns the expected output ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, event_set = c(0, 1, 2), stage = 2) at test-c_cox.R:92:3
2. └─polle:::get_history.policy_data(pd, event_set = c(0, 1, 2), stage = 2)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:123:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:123:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:138:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model1)` to equal `coef(fcf$stage_1$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:143:3'): fit_c_functions return the expected output ──
Expected `coef(ref_model2)` to equal `coef(fcf$stage_2$c_model$model)`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:149:3'): fit_c_functions return the expected output ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-fit_c_functions.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_c_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-fit_c_functions.R:164:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model1))` to equal `unname(coef(fcf$stage_1$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Failure ('test-fit_c_functions.R:169:3'): fit_c_functions return the expected output ──
Expected `unname(coef(ref_model2))` to equal `unname(coef(fcf$stage_2$c_model$model))`.
Differences:
Types not compatible: double is not NULL
── Error ('test-fit_c_functions.R:180:3'): fit_c_functions(): g_model's passed as the argument c_models are fitted and predicted correctly for discrete right-censoring: ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:180:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:240:3'): fit_c_functions() related errors to fitting the c-model. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 500) at test-fit_c_functions.R:240:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Error ('test-fit_c_functions.R:257:3'): fit_c_functions(): returns default right-censoring model for stages where no right-censoring occur, ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(...) at test-fit_c_functions.R:257:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_c_functions.R:87:3
3. └─data.table:::`[.data.table`(...) at test-fit_c_functions.R:87:3
── Failure ('test-fit_functions.R:15:5'): fit_functions handle multiple thresholds ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 12/12 in VECTOR_ELT
── Error ('test-fit_functions.R:29:5'): fit_functions handle multiple thresholds ──
Error in `eval(code, test_env)`: object 'ff' not found
Backtrace:
▆
1. └─testthat::expect_is(ff$policy_object, class = "policy_object") at test-fit_functions.R:29:5
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error ('test-fit_functions.R:63:5'): crossfit_functions has the expected outcome ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens(n = 100) at test-fit_functions.R:75:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_functions.R:63:5
3. └─data.table:::`[.data.table`(...) at test-fit_functions.R:63:5
── Error ('test-fit_m_function.R:44:3'): fit_m_function has the expected output. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:44:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:44:3
── Error ('test-fit_m_function.R:181:3'): fit_m_function handles missing covariates (throws and error message that is related to the m-model) ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-fit_m_function.R:181:3
2. └─data.table:::`[.data.table`(...) at test-fit_m_function.R:181:3
── Error ('test-g_empir.R:36:3'): g_empir predictions in a single stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, new_policy_data = pd) at test-g_empir.R:36:3
2. └─polle:::predict.nuisance_functions(g_functions, new_policy_data = pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-g_empir.R:115:3'): g_empir predictions in a two stage setting ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-g_empir.R:115:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:40:3'): predict.g_functions checks the action set ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:40:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:55:3'): predict.g_functions checks the action set ──
`predict(gfit, pd2)` threw an error with unexpected message.
Expected match: "factor A_1 has new levels maybe"
Actual message: "object 'gfit' not found"
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd2), "factor A_1 has new levels maybe") at test-g_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd2)
── Error ('test-g_models.R:62:7'): predict.g_functions checks the action set ───
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test-g_models.R:60:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::predict.g_function(...) at test-g_models.R:62:7
5. └─base::getElement(object, "g_model")
── Failure ('test-g_models.R:99:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:99:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::full_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:103:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:103:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:108:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:108:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::fit_g_functions(...)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
10. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:112:3'): fit_g_functions handles varying stage-action sets ──
`predict(gfit, pd)` threw an error.
Message: object 'gfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(predict(gfit, pd), NA) at test-g_models.R:112:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(gfit, pd)
── Failure ('test-g_models.R:124:3'): fit_g_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:124:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-g_models.R:149:3'): fit_g_function_cf saves the cross-fitted models ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::crossfit_function(...)
7. ├─base::do.call(what = future.apply::future_lapply, future_args)
8. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<list>`, FUN = `<fn>`)
9. └─future.apply:::future_xapply(...)
10. └─base::tryCatch(...)
11. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
12. └─base (local) tryCatchOne(...)
13. └─value[[3L]](cond)
14. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-g_models.R:159:3'): fit_g_function_cf saves the cross-fitted models ──
Error in `eval(code, test_env)`: object 'gfit' not found
Backtrace:
▆
1. ├─testthat::expect_true(all(!unlist(lapply(gfit$functions, is.null)))) at test-g_models.R:159:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unlist(lapply(gfit$functions, is.null))
5. └─base::lapply(gfit$functions, is.null)
── Failure ('test-g_models.R:252:3'): g_rf runs: ───────────────────────────────
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 13/13 in VECTOR_ELT
── Error ('test-g_models.R:262:3'): g_rf runs: ─────────────────────────────────
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─testthat::expect_is(pe, class = "policy_eval") at test-g_models.R:262:3
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-g_models.R:277:3'): g_sl formats data correctly via the formula ──
`policy_eval(...)` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:277:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:356:3'): g_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:356:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:388:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "NA/NaN/Inf in 'x'"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:388:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:396:3'): g_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:396:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:403:3'): g_glm handles missing covariates ─────────
`... <- NULL` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:403:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:447:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:447:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-g_models.R:454:3'): g_glmnet handles missing covariates ──────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-g_models.R:454:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-g_xgboost.R:27:3'): g_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_fun, pd) at test-g_xgboost.R:27:3
2. └─polle:::predict.nuisance_functions(g_fun, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:20:5'): get_history() checks input ───
`get_history(pd, stage = ss)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:19:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(get_history(pd, stage = ss), NA) at test-policy_data-functions.R:20:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = ss)
9. └─polle:::get_history.policy_data(pd, stage = ss)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_data-functions.R:44:5'): get_history() checks input ───
`get_history(pd, stage = 1, full_history = fh)` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. └─base::lapply(...) at test-policy_data-functions.R:43:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_error(...) at test-policy_data-functions.R:44:5
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─polle::get_history(pd, stage = 1, full_history = fh)
9. └─polle:::get_history.policy_data(pd, stage = 1, full_history = fh)
10. └─polle:::full_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:86:3'): full_history() returns the history associated with the action process when event_set = c(0). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:86:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:177:3'): full_history() returns the history associated with the event process when event_set = c(0,2). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:177:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:331:3'): full_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::full_history(pd, stage = 1, event_set = c(0, 1, 2)) at test-policy_data-functions.R:331:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:483:3'): stage_state_history() returns the history associated with the action process when event_set = c(0) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0)) at test-policy_data-functions.R:483:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:573:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(pd, stage = 1, event_set = c(0, 2)) at test-policy_data-functions.R:573:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:722:3'): stage_state_history() returns the history associated with the event process when event_set = c(0,1,2) ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::stage_state_history(...) at test-policy_data-functions.R:722:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
── Error ('test-policy_data-functions.R:1211:5'): plot.policy_data() does not fail for right-censored data ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1222:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1211:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1211:5
── Error ('test-policy_data-functions.R:1268:5'): partial.policy_data() handles right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle (local) sim_two_stage_right_cens() at test-policy_data-functions.R:1279:3
2. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_data-functions.R:1268:5
3. └─data.table:::`[.data.table`(...) at test-policy_data-functions.R:1268:5
── Error ('test-policy_def.R:11:3'): policy_def checks the action set ──────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_warning(p(pd), "The policy actions does not comply with the action set of the policy data object.") at test-policy_def.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:39:3'): policy_def handles static policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd))) at test-policy_def.R:39:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:119:3'): policy_def handles dynamic policies (single stage). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:119:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:170:7'): policy_def handles static policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─base::lapply(...) at test-policy_def.R:166:3
2. └─polle (local) FUN(X[[i]], ...)
3. ├─testthat::expect_equal(p(pd)[["d"]], rep("1", get_n(pd) * get_K(pd))) at test-policy_def.R:170:7
4. │ └─testthat::quasi_label(enquo(object), label)
5. │ └─rlang::eval_bare(expr, quo_get_env(quo))
6. └─polle (local) p(pd)
7. └─base::lapply(...)
8. └─polle (local) FUN(X[[i]], ...)
9. ├─polle::get_history(...)
10. └─polle:::get_history.policy_data(...)
11. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
12. ├─...[]
13. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:237:3'): policy_def handles dynamic policies (two stages). ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:237:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_def.R:308:3'): policy_def handles a stochastic number of stages ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_equal(p(pd)[["d"]], res) at test-policy_def.R:308:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle (local) p(pd)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(...)
8. └─polle:::get_history.policy_data(...)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:132:3'): policy_eval checks input under right-censoring ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 14/14 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:132:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:132:3
── Error ('test-policy_eval-censoring.R:244:3'): policy_eval with target 'value' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:244:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:678:3'): policy_eval returns the expected c_functions output when using c-models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-censoring.R:678:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
6. ├─polle::get_history(...)
7. └─polle:::get_history.policy_data(...)
8. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
9. ├─...[]
10. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:723:3'): policy_eval with target 'subgroup' has the correct output under right-censoring. ──
Error in ``[.data.table`(ld, , `:=`(tmp, cumsum(delta == 0)), by = id)`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─ld[, `:=`(tmp, cumsum(delta == 0)), by = id] at test-policy_eval-censoring.R:723:3
2. └─data.table:::`[.data.table`(...) at test-policy_eval-censoring.R:723:3
── Error ('test-policy_eval-censoring.R:1062:3'): policy_eval() handles sparse censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1062:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1139:3'): policy_eval() handles abundant censoring. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1139:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-censoring.R:1288:3'): policy_eval with target 'value' has the expected output
for the two-stage case under right-censoring and terminal events. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval-censoring.R:1288:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:19:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemented for more than two actions."
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:19:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:38:5'): policy_eval with target = 'subgroup' checks inputs. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "subgroup average treatment effect evaluation is not implemeted for multiple stages."
Actual message: "attempt access index 10/10 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:38:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:64:5'): policy_eval with target 'subgroup' agrees with targeted::cate. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:64:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:185:3'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Expected `pe <- policy_eval(policy_data = pd, policy = p, target = "subgroup")` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval-subgroup.R:138:5'): policy_eval with target 'sub_effect' has the correct outputs: test1. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle (local) test_output(pe) at test-policy_eval-subgroup.R:192:3
2. ├─testthat::expect_true(!is.null(coef(pe)) && is.numeric(coef(pe))) at test-policy_eval-subgroup.R:138:5
3. │ └─testthat::quasi_label(enquo(object), label)
4. │ └─rlang::eval_bare(expr, quo_get_env(quo))
5. └─stats::coef(pe)
── Error ('test-policy_eval-subgroup.R:283:5'): policy_eval with target 'subgroup' has the correct outputs: test2. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:283:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:360:3'): policy_eval with target 'subgroup' returns NA when no subjects are in the subgroup. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:360:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:477:3'): policy_eval with target 'subgroup' works with policy_learning with multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:477:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval-subgroup.R:633:3'): policy_eval with target 'subgroup' returns NA when the subgroup count is below the minimum. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval-subgroup.R:633:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval-subgroup.R:725:3'): policy_eval runs with policy_learn using quantile_prob_thres ──
`... <- NULL` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval-subgroup.R:725:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. └─polle:::policy_eval_cross(...)
8. ├─base::do.call(what = future.apply::future_lapply, cross_args)
9. └─future.apply (local) `<fn>`(...)
10. └─future.apply:::future_xapply(...)
11. └─base::tryCatch(...)
12. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. └─base (local) tryCatchOne(...)
14. └─value[[3L]](cond)
15. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:6:3'): policy_eval returns g and Q-function values. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:6:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:52:5'): policy_eval do not save g and Q-functions when
save_g_functions = FALSE and save_q_functions = FALSE. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(pd, policy = p) at test-policy_eval.R:52:5
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:149:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_model = g_glm())` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:149:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_model = g_glm())
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:157:3'): policy_eval checks inputs. ────────────
`policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:157:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(policy_data = pd, policy = p, g_models = list(g_glm()))
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:175:3'): policy_eval checks inputs. ──────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-policy_eval.R:175:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:276:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Expected `pe <- policy_eval(pd, policy = p, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:280:3'): policy_eval handles combinations of nuisance models and functions correctly. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(get_g_functions(pe), gf) at test-policy_eval.R:280:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_g_functions(pe)
── Failure ('test-policy_eval.R:351:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`pe1_ipw <- policy_eval(pd1, policy = policy_def(1), type = "ipw")` threw an error.
Message: attempt access index 10/10 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:351:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(pd1, policy = policy_def(1), type = "ipw")
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:355:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
`... <- NULL` threw an error.
Message: object 'pe1_ipw' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:355:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_g_functions(pe1_ipw)
── Error ('test-policy_eval.R:364:3'): policy_eval runs on a subset of the data with missing actions from the action set. ──
Error in `eval(code, test_env)`: object 'pe2_ipw' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe2_ipw)), 0) at test-policy_eval.R:364:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe2_ipw))
5. └─stats::coef(pe2_ipw)
── Failure ('test-policy_eval.R:409:3'): policy_eval handles varying stage action sets. ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:409:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:421:3'): policy_eval handles varying stage action sets. ──
`policy_eval(...)` threw an error with unexpected message.
Expected match: "The policy actions does not comply with the stage action sets of the policy data object."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_eval.R:421:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:438:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:447:3'): policy_eval with target = 'value' runs when cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe_pooled' not found
Backtrace:
▆
1. ├─testthat::expect_true(is.numeric(coef(pe_pooled))) at test-policy_eval.R:447:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─stats::coef(pe_pooled)
── Error ('test-policy_eval.R:518:3'): policy_eval with target = 'value' agrees with targeted::cate in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:518:3
2. └─polle:::policy_eval_cross(...)
3. ├─base::do.call(what = future.apply::future_lapply, cross_args)
4. └─future.apply (local) `<fn>`(...)
5. └─future.apply:::future_xapply(...)
6. └─base::tryCatch(...)
7. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. └─base (local) tryCatchOne(...)
9. └─value[[3L]](cond)
10. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-policy_eval.R:564:3'): policy_eval with target 'value' has the correct outputs in the single-stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:564:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:708:3'): policy_eval passes nuisance models to policy_learn correctly ──
Expected `pe <- policy_eval(pd, policy_learn = pl, g_functions = gf, g_models = g_glm(~Z))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:714:3'): policy_eval passes nuisance models to policy_learn correctly ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. └─polle::get_policy_object(pe) at test-policy_eval.R:714:3
── Error ('test-policy_eval.R:786:3'): policy_eval() using policy_learn() has the correct output ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:786:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::policy_learn(...)
6. ├─base::do.call(what = call, args)
7. └─polle:::blip(...)
8. ├─stats::predict(g_functions, policy_data)
9. └─polle:::predict.nuisance_functions(g_functions, policy_data)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(...)
13. └─polle:::get_history.policy_data(...)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:860:3'): policy_eval with target 'value' has the correct outputs for the fixed two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:860:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval.R:917:3'): policy_eval with target 'value' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_eval.R:917:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1074:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Expected `{ ... }` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 10/10 in VECTOR_ELT
── Error ('test-policy_eval.R:1082:3'): policy_eval() return estimates for multiple policies associated with multiple thresholds. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1082:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval.R:1224:3'): conditional.policy_eval agrees with targeted::cate ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 10/10 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-policy_eval.R:1224:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_eval.R:1291:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Error ('test-policy_eval.R:1302:3'): policy_eval with target = 'value' runs when performing repeated cross-fitting. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1302:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Failure ('test-policy_eval.R:1380:3'): policy_eval() runs without covariates. ──
Expected `... <- NULL` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 9/9 in VECTOR_ELT
── Error ('test-policy_eval.R:1392:3'): policy_eval() runs without covariates. ──
Error in `eval(code, test_env)`: object 'pe' not found
Backtrace:
▆
1. ├─testthat::expect_equal(unname(coef(pe)), ref_pe) at test-policy_eval.R:1392:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::unname(coef(pe))
5. └─stats::coef(pe)
── Error ('test-policy_eval_online.R:19:3'): policy_eval_online() uses valid indexes for training and validation: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:19:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:70:3'): policy_eval_online has the expected output for target = 'value' in the single stage case: ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:70:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_eval_online.R:228:3'): policy_eval_sequential has the expected output in the single stage case for target = 'subgroup' ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval_online(...) at test-policy_eval_online.R:228:3
2. └─polle:::policy_eval_on(...)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─base::do.call(what = "policy_eval_type", args = eval_args)
6. └─polle:::policy_eval_type(...)
7. └─polle:::fit_functions(...)
8. └─polle (local) policy(policy_data = policy_data)
9. └─base::lapply(...)
10. └─polle (local) FUN(X[[i]], ...)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_g_functions.R:16:3'): policy_g_functions returns a policy which selects the most probable action. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─stats::predict(g_functions, pd) at test-policy_g_functions.R:16:3
2. └─polle:::predict.nuisance_functions(g_functions, pd)
3. └─base::lapply(...)
4. └─polle (local) FUN(X[[i]], ...)
5. ├─polle::get_history(...)
6. └─polle:::get_history.policy_data(...)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip-censoring.R:37:3'): policy_learn with type 'blip' has the expected output for the fixed two-stage case under right-censoring and single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip-censoring.R:37:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:17:5'): policy_learn with type blip works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-blip.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-blip.R:17:5
5. ├─base::do.call(what = call, args)
6. └─polle:::blip(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:88:3'): get_policy_functions.blip returns a list of policy functions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:88:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:165:3'): get_policy.blip returns a policy ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-blip.R:165:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:235:3'): policy_learn with type blip is persistent in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:235:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:275:3'): policy_learn with type blip passes the threshold argument in the single-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:275:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:309:3'): get_policy.blip uses the threshold argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:309:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:370:3'): policy_learn with type blip uses the threshold argument in the two-stage case, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:370:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:410:3'): get_policy and get_policy_functions agree with type blip and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:410:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:458:3'): get_policy.blip() returns multiple policies when given multiple thresholds. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:458:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:513:3'): policy_learn with type blip uses the quantile_threshold argument. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-blip.R:513:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:576:3'): policy_learn with type 'blip' has the expected output for a fixed two-stage case with a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:576:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-blip.R:758:3'): policy_learn with type 'blip' has the correct outputs for the stochastic two-stage case and a single final utility outcome. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, g_models = list(g_glm(~1), g_glm(~1))) at test-policy_learn-blip.R:758:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:11:3'): get_policy.drql returns a policy ──
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:11:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-drql.R:12:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::drql(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:16:3'): get_policy.drql returns a policy ───
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-drql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-drql.R:54:3'): policy_learn with type = 'drql' checks input ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:54:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:95:3'): policy_learn with type drql works as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(...) at test-policy_learn-drql.R:95:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:189:3'): policy_learn with type drql handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:189:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::drql(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-drql.R:193:3'): policy_learn with type drql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-drql.R:193:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-drql.R:198:3'): policy_learn with type drql handles varying action sets ──
`pf1 <- get_policy_functions(po, stage = 1)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-drql.R:198:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po, stage = 1)
── Error ('test-policy_learn-drql.R:202:3'): policy_learn with type drql handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1, full_history = FALSE) at test-policy_learn-drql.R:202:3
2. └─polle:::get_history.policy_data(pd, stage = 1, full_history = FALSE)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:361:3'): policy_learn with type = 'drql' uses the cross_fit_g_models argument ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle::fit_g_functions(pd, list(g_empir(), g_empir()), full_history = FALSE) at test-policy_learn-drql.R:361:3
2. └─base::lapply(...)
3. └─polle (local) FUN(X[[i]], ...)
4. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:401:3'): policy_learn with type = 'drql' saves cross-fitted models. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = list(g_empir(), g_empir()), q_models = q_glm()) at test-policy_learn-drql.R:401:3
2. ├─base::do.call(what = call, args)
3. └─polle:::drql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-drql.R:457:3'): policy_learn with type drql handles multiple stages with varying stage action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─base::suppressWarnings(...) at test-policy_learn-drql.R:457:3
2. │ └─base::withCallingHandlers(...)
3. └─polle::policy_eval(...)
4. ├─base::do.call(what = policy_eval_type, args = args)
5. └─polle (local) `<fn>`(...)
6. └─polle:::fit_functions(...)
7. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
8. └─base::lapply(...)
9. └─polle (local) FUN(X[[i]], ...)
10. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:26:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the single stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(policy_data = pd1, g_models = g_glm()) at test-policy_learn-owl.R:26:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:69:3'): the implementation of owl agrees with direct application of DTRlearn2::owl in the two stage case. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-policy_learn-owl.R:69:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-owl.R:135:3'): policy_learn with type owl runs as intended ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-owl.R:135:3
2. ├─base::do.call(what = call, args)
3. └─polle:::dtrlearn2_owl(...)
4. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
5. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
6. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:9:3'): get_policy.ptl returns a policy ────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:9:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm(), g_models = g_glm())) at test-policy_learn-ptl.R:10:5
7. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::ptl(...)
10. ├─stats::predict(g_functions, policy_data)
11. └─polle:::predict.nuisance_functions(g_functions, policy_data)
12. └─base::lapply(...)
13. └─polle (local) FUN(X[[i]], ...)
14. ├─polle::get_history(...)
15. └─polle:::get_history.policy_data(...)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:15:3'): get_policy.ptl returns a policy ─────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ptl.R:15:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Failure ('test-policy_learn-ptl.R:45:3'): policy_learn with type ptl works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(policy_data = pd, g_models = g_glm(), q_models = q_glm()) at test-policy_learn-ptl.R:47:7
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ptl.R:56:3'): policy_learn with type ptl works as intended ──
Error in `eval(code, test_env)`: object 'po' not found
Backtrace:
▆
1. ├─testthat::expect_s3_class(get_policy(po)(pd), "data.table") at test-policy_learn-ptl.R:56:3
2. │ └─testthat::quasi_label(enquo(object))
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:110:3'): policy_learn with type ptl handles varying action sets ──
`po <- pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:110:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
10. └─base::lapply(...)
11. └─polle (local) FUN(X[[i]], ...)
12. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
13. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
14. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
15. ├─...[]
16. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:114:3'): policy_learn with type ptl handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ptl.R:114:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:119:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:119:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn-ptl.R:147:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:147:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) pl2(pd2, q_models = q_glm(), g_models = list(g_glm(), g_rf()))
7. ├─base::do.call(what = call, args)
8. └─polle:::ptl(...)
9. └─polle:::crossfit_function(...)
10. ├─base::do.call(what = future.apply::future_lapply, future_args)
11. └─future.apply (local) `<fn>`(future.seed = TRUE, X = `<named list>`, FUN = `<fn>`)
12. └─future.apply:::future_xapply(...)
13. └─base::tryCatch(...)
14. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
15. └─base (local) tryCatchOne(...)
16. └─value[[3L]](cond)
17. └─future.apply:::onError(e, futures = fs, debug = debug)
── Failure ('test-policy_learn-ptl.R:151:3'): policy_learn with type ptl handles varying action sets ──
`pa2 <- get_policy(po2)(pd2)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa2 <- get_policy(po2)(pd2), NA) at test-policy_learn-ptl.R:151:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po2)
── Failure ('test-policy_learn-ptl.R:155:3'): policy_learn with type ptl handles varying action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:155:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
14. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:163:3'): policy_learn with type ptl handles varying action sets ──
`pf2_1 <- get_policy_functions(po2, stage = 1)` threw an error.
Message: object 'po2' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ptl.R:163:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy_functions(po2, stage = 1)
── Error ('test-policy_learn-ptl.R:167:3'): policy_learn with type ptl handles varying action sets ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd2, stage = 1) at test-policy_learn-ptl.R:167:3
2. └─polle:::get_history.policy_data(pd2, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ptl.R:208:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `po <- pl(policy_data = pd, g_models = g_glm(), q_models = q_glm())` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-policy_learn-ptl.R:216:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Failure ('test-policy_learn-ptl.R:220:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `unlist(lapply(pf, function(x) attr(x, "name")))` to equal `paste0("ptl(eta=", c(0, 0.5, 1), ")")`.
Differences:
target is NULL, current is character
── Failure ('test-policy_learn-ptl.R:225:3'): policy_learn with type = 'ptl' works with thresholds. ──
`pf <- get_policy(po, threshold = 2)` threw an error with unexpected message.
Expected match: "Invalid threshold. Choose between 0, 0.5, 1"
Actual message: "object 'po' not found"
Backtrace:
▆
1. ├─testthat::expect_error(pf <- get_policy(po, threshold = 2), "Invalid threshold. Choose between 0, 0.5, 1") at test-policy_learn-ptl.R:225:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po, threshold = 2)
── Failure ('test-policy_learn-ptl.R:230:3'): policy_learn with type = 'ptl' works with thresholds. ──
Expected `pf <- get_policy(po, threshold = 0.5)` not to throw any errors.
Actually got a <simpleError> with message:
object 'po' not found
── Error ('test-policy_learn-ptl.R:234:3'): policy_learn with type = 'ptl' works with thresholds. ──
<getvarError/missingArgError/error/condition>
Error in `pf(pd)`: argument "df1" is missing, with no default
Backtrace:
▆
1. ├─testthat::expect_true(...) at test-policy_learn-ptl.R:234:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─data.table::is.data.table(pf(pd))
5. └─stats::pf(pd)
── Error ('test-policy_learn-ptl.R:263:3'): get_policy and get_policy_functions agree with type ptl and a non-zero threshold argument, ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ptl.R:263:3
2. ├─base::do.call(what = call, args)
3. └─polle:::ptl(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:10:3'): get_policy.ql returns a policy ─────
`{ ... }` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:10:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::get_policy(pl(pd, q_models = q_glm())) at test-policy_learn-ql.R:12:7
7. └─polle:::pl(pd, q_models = q_glm())
8. ├─base::do.call(what = call, args)
9. └─polle:::rql(...)
10. └─polle:::q_step(...)
11. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
12. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:16:3'): get_policy.ql returns a policy ───────
Error in `eval(code, test_env)`: object 'p' not found
Backtrace:
▆
1. ├─testthat::expect_true(inherits(p, what = "policy")) at test-policy_learn-ql.R:16:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─base::inherits(p, what = "policy")
── Error ('test-policy_learn-ql.R:36:3'): get_policy_functions.ql agrees with get_policy.ql ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:36:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:113:3'): get_policy_functions.ql handles deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:113:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:186:3'): get_policy_functions.ql handles partially missing deterministic rewards ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm()) at test-policy_learn-ql.R:186:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:255:3'): get_policy_functions.ql handles realistic actions ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm()) at test-policy_learn-ql.R:255:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle:::q_step(...)
5. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
6. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
7. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
8. ├─...[]
9. └─data.table:::`[.data.table`(...)
── Error ('test-policy_learn-ql.R:327:3'): get_policy_functions.ql handles varying stage action set ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(pd, q_models = q_glm(), g_models = list(g_glm(), g_empir())) at test-policy_learn-ql.R:327:3
2. ├─base::do.call(what = call, args)
3. └─polle:::rql(...)
4. └─polle::fit_g_functions(policy_data, g_models = g_models, full_history = g_full_history)
5. └─base::lapply(...)
6. └─polle (local) FUN(X[[i]], ...)
7. ├─polle::get_history(policy_data, stage = s, full_history = full_history)
8. └─polle:::get_history.policy_data(policy_data, stage = s, full_history = full_history)
9. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
10. ├─...[]
11. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:369:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = q_glm())` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:369:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:373:3'): policy_learn with type = 'ql' works as intended ──
`ql(policy_data = pd, q_models = list(q_glm(), q_glm()))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:373:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = list(q_glm(), q_glm()))
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:387:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:387:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle (local) ql(policy_data = pd, q_models = q_glm(), g_glm()) at test-policy_learn-ql.R:388:5
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:391:3'): policy_learn with type = 'ql' works as intended ──
`{ ... }` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:391:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po) at test-policy_learn-ql.R:392:5
── Error ('test-policy_learn-ql.R:395:3'): policy_learn with type = 'ql' works as intended ──
Error in `p(pd)`: could not find function "p"
Backtrace:
▆
1. └─testthat::expect_s3_class(p(pd), class = "data.table") at test-policy_learn-ql.R:395:3
2. └─testthat::quasi_label(enquo(object))
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Failure ('test-policy_learn-ql.R:412:3'): policy_learn with type ql handles varying action sets ──
`po <- pl(pd, q_models = q_glm())` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(po <- pl(pd, q_models = q_glm()), NA) at test-policy_learn-ql.R:412:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::rql(...)
9. └─polle:::q_step(...)
10. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
11. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
12. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
13. ├─...[]
14. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn-ql.R:416:3'): policy_learn with type ql handles varying action sets ──
`pa <- get_policy(po)(pd)` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(pa <- get_policy(po)(pd), NA) at test-policy_learn-ql.R:416:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::get_policy(po)
── Failure ('test-policy_learn-ql.R:420:3'): policy_learn with type ql handles varying action sets ──
`... <- NULL` threw an error.
Message: object 'po' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn-ql.R:420:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─polle::policy_eval(...)
7. │ ├─base::as.list(environment())
8. │ └─base::as.list.environment(environment())
9. └─polle::get_policy(po)
── Failure ('test-policy_learn.R:39:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:39:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:45:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", alpha = 0.1))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:45:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:53:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = TRUE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:53:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:59:3'): policy_learn checks input ─────────────
`policy_eval(pd, policy_learn = policy_learn(type = "ql", full_history = FALSE))` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:59:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. └─polle:::q_step(...)
14. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
15. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
16. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
17. ├─...[]
18. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:294:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'drql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:294:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:305:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rql' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:305:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:316:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'ptl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:316:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:327:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'earl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:327:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:338:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'rwl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:338:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Failure ('test-policy_learn.R:349:3'): policy_learn() does not run with missing outcomes for drql, rql, ptl, earl, rwl, owl. ──
`... <- NULL` threw an error with unexpected message.
Expected match: "policy learning with type 'owl' not implemented under right-censoring/missing outcomes."
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-policy_learn.R:349:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle:::fit_m_function(policy_data, m_model = m_model, full_history = m_full_history)
11. ├─polle::get_history(...)
12. └─polle:::get_history.policy_data(...)
13. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
14. ├─...[]
15. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:9:3'): predict.q_glmnet return a vector ─────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. ├─polle::get_history(pd, stage = 1) at test-q_glmnet.R:9:3
2. └─polle:::get_history.policy_data(pd, stage = 1)
3. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
4. ├─...[]
5. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:33:5'): q_glmnet formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:33:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:70:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:70:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_glmnet.R:79:5'): q_glmnet handles missing covariates ───────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_glmnet.R:79:5
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_glmnet.R:156:3'): testing that q_glmnet returns the prediction associated with lambda.min ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 11/11 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::pl(...) at test-q_glmnet.R:156:3
2. ├─base::do.call(what = call, args)
3. └─polle:::blip(...)
4. ├─stats::predict(g_functions, policy_data)
5. └─polle:::predict.nuisance_functions(g_functions, policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:18:3'): fit_q_functions handles varying stage-action sets ──
`... <- NULL` threw an error.
Message: attempt access index 12/12 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:18:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:22:3'): fit_q_functions handles varying stage-action sets ──
`tmp <- predict(qfit, pd)` threw an error.
Message: object 'qfit' not found
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(tmp <- predict(qfit, pd), NA) at test-q_models.R:22:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─stats::predict(qfit, pd)
── Error ('test-q_models.R:27:3'): fit_q_functions handles varying stage-action sets ──
Error in `eval(code, test_env)`: object 'qfit' not found
Backtrace:
▆
1. └─stats::predict(...) at test-q_models.R:27:3
── Failure ('test-q_models.R:55:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_glm' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:55:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:59:3'): q_models checks formula input ─────────────
Expected `policy_eval(policy_data = pd, policy = p_dynamic, q_models = q_glm(formula = ~ns(C)))` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 11/11 in VECTOR_ELT
── Failure ('test-q_models.R:64:3'): q_models checks formula input ─────────────
`policy_eval(...)` threw an error with unexpected message.
Expected match: "variable 'X' is not found in data when calling 'q_xgboost' with formula: ~X"
Actual message: "attempt access index 11/11 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:64:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:84:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:84:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:96:3'): q_models checks formula input 2 ───────────
`po <- pl(pd, q_models = q_glm(), g_models = g_glm())` threw an error with unexpected message.
Expected match: "Error in blip_model: variable 'A' is not found in data when calling 'q_glm' with formula: ~A \\+ Z \\+ B \\+ L \\+ A:Z \\+ A:B \\+ A:L"
Actual message: "attempt access index 12/12 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:96:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::pl(pd, q_models = q_glm(), g_models = g_glm())
7. ├─base::do.call(what = call, args)
8. └─polle:::blip(...)
9. ├─stats::predict(g_functions, policy_data)
10. └─polle:::predict.nuisance_functions(g_functions, policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:111:3'): q_rf formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:111:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:131:3'): q_sl formats data correctly via the formula ──
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:131:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle::policy_learn(...)
11. ├─base::do.call(what = call, args)
12. └─polle:::rql(...)
13. ├─stats::predict(g_functions, policy_data)
14. └─polle:::predict.nuisance_functions(g_functions, policy_data)
15. └─base::lapply(...)
16. └─polle (local) FUN(X[[i]], ...)
17. ├─polle::get_history(...)
18. └─polle:::get_history.policy_data(...)
19. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
20. ├─...[]
21. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:174:3'): q_sl can find user-defined learners ──────
`... <- NULL` threw an error.
Message: attempt access index 13/13 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:174:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle:::fit_Q_functions(...)
7. └─polle:::q_step(...)
8. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
9. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Error ('test-q_models.R:205:3'): q_glm and q_sl(SL.library('SL.glm')) are (almost) equivalent ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle::policy_eval(...) at test-q_models.R:205:3
2. ├─base::do.call(what = policy_eval_type, args = args)
3. └─polle (local) `<fn>`(...)
4. └─polle:::fit_functions(...)
5. └─polle (local) policy(policy_data = policy_data)
6. └─base::lapply(...)
7. └─polle (local) FUN(X[[i]], ...)
8. ├─polle::get_history(...)
9. └─polle:::get_history.policy_data(...)
10. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
11. ├─...[]
12. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:241:3'): q_glm handles missing covariates ─────────
`policy_eval(policy_data = pd, policy = p, type = "or", q_models = q_glm(~L))` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:241:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Failure ('test-q_models.R:248:3'): q_glm handles missing covariates ─────────
`policy_eval(...)` threw an error.
Message: attempt access index 11/11 in VECTOR_ELT
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-q_models.R:248:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─polle::policy_eval(...)
7. ├─base::do.call(what = policy_eval_type, args = args)
8. └─polle (local) `<fn>`(...)
9. └─polle:::fit_functions(...)
10. └─polle (local) policy(policy_data = policy_data)
11. └─base::lapply(...)
12. └─polle (local) FUN(X[[i]], ...)
13. ├─polle::get_history(...)
14. └─polle:::get_history.policy_data(...)
15. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
16. ├─...[]
17. └─data.table:::`[.data.table`(...)
── Error ('test-q_sl.R:12:3'): q_sl with discreteSL = TRUE picks the learner with the lowest cvrisk. ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 13/13 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_sl.R:12:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:11:3'): q_xgboost tunes parameters ─────────────────
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:11:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
── Error ('test-q_xgboost.R:49:3'): q_xgboost gives the same result as plain xgboost ──
Error in ``[.data.table`(stage_data[stage <= stage_], , `:=`(U_bar, sum(U * (event != 1), na.rm = TRUE)), by = "id")`: attempt access index 12/12 in VECTOR_ELT
Backtrace:
▆
1. └─polle:::fit_Q_functions(...) at test-q_xgboost.R:49:3
2. └─polle:::q_step(...)
3. ├─polle::get_history(policy_data, stage = k, full_history = full_history)
4. └─polle:::get_history.policy_data(policy_data, stage = k, full_history = full_history)
5. └─polle:::stage_state_history(object, stage = stage, event_set = event_set)
6. ├─...[]
7. └─data.table:::`[.data.table`(...)
[ FAIL 196 | WARN 8 | SKIP 0 | PASS 220 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc