Last updated on 2026-01-12 03:52:28 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 5.1.20 | 8.15 | 286.00 | 294.15 | OK | |
| r-devel-linux-x86_64-debian-gcc | 5.1.20 | 6.76 | 171.02 | 177.78 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 5.1.20 | 15.00 | 502.05 | 517.05 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 5.1.20 | 15.00 | 471.32 | 486.32 | ERROR | |
| r-devel-windows-x86_64 | 5.1.20 | 11.00 | 312.00 | 323.00 | OK | |
| r-patched-linux-x86_64 | 5.1.20 | 8.66 | 272.64 | 281.30 | OK | |
| r-release-linux-x86_64 | 5.1.20 | 8.56 | 271.36 | 279.92 | OK | |
| r-release-macos-arm64 | 5.1.20 | OK | ||||
| r-release-macos-x86_64 | 5.1.20 | 5.00 | 236.00 | 241.00 | OK | |
| r-release-windows-x86_64 | 5.1.20 | 11.00 | 305.00 | 316.00 | OK | |
| r-oldrel-macos-arm64 | 5.1.20 | OK | ||||
| r-oldrel-macos-x86_64 | 5.1.20 | 6.00 | 245.00 | 251.00 | OK | |
| r-oldrel-windows-x86_64 | 5.1.20 | 15.00 | 428.00 | 443.00 | OK |
Version: 5.1.20
Check: tests
Result: ERROR
Running ‘testthat.R’ [37s/39s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(forecastHybrid) # nolint: unused_import_linter
Loading required package: forecast
Loading required package: thief
> library(testthat)
>
> test_check("forecastHybrid")
Saving _problems/test-accuracy-10.R
Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
############
auto.arima with weight 0.2
############
ets with weight 0.2
############
thetam with weight 0.2
############
nnetar with weight 0.2
############
tbats with weight 0.2
Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
############
auto.arima with weight 0.2
############
ets with weight 0.2
############
thetam with weight 0.2
############
nnetar with weight 0.2
############
tbats with weight 0.2
Saving _problems/test-generics-26.R
Saving _problems/test-hybridModel-62.R
Saving _problems/test-hybridModel-74.R
Saving _problems/test-hybridModel-195.R
Saving _problems/test-theta-65.R
[ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• On CRAN (2): 'test-cvts.R:51:1', 'test-forecast.hybridModel.R:25:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-accuracy.R:10:3'): Accuracy generic function works ───────────
`accuracy(hm$thetam)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(accuracy(hm$thetam), NA) at test-accuracy.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. └─generics::accuracy(hm$thetam)
── Failure ('test-generics.R:26:3'): Testing generics is.hybridModel(), fitted(), residuals(), and accuracy() ──
`accuracy(exampleModel, individual = TRUE)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-generics.R:26:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─generics::accuracy(exampleModel, individual = TRUE)
7. └─forecastHybrid:::accuracy.hybridModel(exampleModel, individual = TRUE)
8. └─forecast::accuracy(object[[model]])
── Error ('test-hybridModel.R:62:3'): Testing for warnings ─────────────────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(hybridModel(ts(1:20, f = 2), weight = "insample.errors")) at test-hybridModel.R:62:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(ts(1:20, f = 2), weight = "insample.errors")
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Error ('test-hybridModel.R:73:3'): Testing valid inputs ─────────────────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-hybridModel.R:73:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(inputSeries, models = "aensft", weights = "insample.errors")
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Error ('test-hybridModel.R:194:7'): Testing the weighting methods ───────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-hybridModel.R:194:7
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(inputSeries, models = models, weights = weight)
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Failure ('test-theta.R:65:3'): Generic `forecast` methods work on thetam objects ──
`accuracy(mod1)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(accuracy(mod1), NA) at test-theta.R:65:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─generics::accuracy(mod1)
[ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 5.1.20
Check: tests
Result: ERROR
Running ‘testthat.R’ [109s/252s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(forecastHybrid) # nolint: unused_import_linter
Loading required package: forecast
Loading required package: thief
> library(testthat)
>
> test_check("forecastHybrid")
Saving _problems/test-accuracy-10.R
Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
############
auto.arima with weight 0.2
############
ets with weight 0.2
############
thetam with weight 0.2
############
nnetar with weight 0.2
############
tbats with weight 0.2
Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
############
auto.arima with weight 0.2
############
ets with weight 0.2
############
thetam with weight 0.2
############
nnetar with weight 0.2
############
tbats with weight 0.2
Saving _problems/test-generics-26.R
Saving _problems/test-hybridModel-62.R
Saving _problems/test-hybridModel-74.R
Saving _problems/test-hybridModel-195.R
Saving _problems/test-theta-65.R
[ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• On CRAN (2): 'test-cvts.R:51:1', 'test-forecast.hybridModel.R:25:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-accuracy.R:10:3'): Accuracy generic function works ───────────
`accuracy(hm$thetam)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(accuracy(hm$thetam), NA) at test-accuracy.R:10:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─generics::accuracy(hm$thetam)
── Failure ('test-generics.R:26:3'): Testing generics is.hybridModel(), fitted(), residuals(), and accuracy() ──
`accuracy(exampleModel, individual = TRUE)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-generics.R:26:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─generics::accuracy(exampleModel, individual = TRUE)
7. └─forecastHybrid:::accuracy.hybridModel(exampleModel, individual = TRUE)
8. └─forecast::accuracy(object[[model]])
── Error ('test-hybridModel.R:62:3'): Testing for warnings ─────────────────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(hybridModel(ts(1:20, f = 2), weight = "insample.errors")) at test-hybridModel.R:62:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(ts(1:20, f = 2), weight = "insample.errors")
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Error ('test-hybridModel.R:73:3'): Testing valid inputs ─────────────────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-hybridModel.R:73:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(inputSeries, models = "aensft", weights = "insample.errors")
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Error ('test-hybridModel.R:194:7'): Testing the weighting methods ───────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-hybridModel.R:194:7
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(inputSeries, models = models, weights = weight)
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Failure ('test-theta.R:65:3'): Generic `forecast` methods work on thetam objects ──
`accuracy(mod1)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(accuracy(mod1), NA) at test-theta.R:65:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─generics::accuracy(mod1)
[ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 5.1.20
Check: tests
Result: ERROR
Running ‘testthat.R’ [97s/149s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(forecastHybrid) # nolint: unused_import_linter
Loading required package: forecast
Loading required package: thief
> library(testthat)
>
> test_check("forecastHybrid")
Saving _problems/test-accuracy-10.R
Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
############
auto.arima with weight 0.2
############
ets with weight 0.2
############
thetam with weight 0.2
############
nnetar with weight 0.2
############
tbats with weight 0.2
Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
############
auto.arima with weight 0.2
############
ets with weight 0.2
############
thetam with weight 0.2
############
nnetar with weight 0.2
############
tbats with weight 0.2
Saving _problems/test-generics-26.R
Saving _problems/test-hybridModel-62.R
Saving _problems/test-hybridModel-74.R
Saving _problems/test-hybridModel-195.R
Saving _problems/test-theta-65.R
[ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• On CRAN (2): 'test-cvts.R:51:1', 'test-forecast.hybridModel.R:25:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-accuracy.R:10:3'): Accuracy generic function works ───────────
`accuracy(hm$thetam)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(accuracy(hm$thetam), NA) at test-accuracy.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. └─generics::accuracy(hm$thetam)
── Failure ('test-generics.R:26:3'): Testing generics is.hybridModel(), fitted(), residuals(), and accuracy() ──
`accuracy(exampleModel, individual = TRUE)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-generics.R:26:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─generics::accuracy(exampleModel, individual = TRUE)
7. └─forecastHybrid:::accuracy.hybridModel(exampleModel, individual = TRUE)
8. └─forecast::accuracy(object[[model]])
── Error ('test-hybridModel.R:62:3'): Testing for warnings ─────────────────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(hybridModel(ts(1:20, f = 2), weight = "insample.errors")) at test-hybridModel.R:62:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(ts(1:20, f = 2), weight = "insample.errors")
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Error ('test-hybridModel.R:73:3'): Testing valid inputs ─────────────────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-hybridModel.R:73:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(inputSeries, models = "aensft", weights = "insample.errors")
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Error ('test-hybridModel.R:194:7'): Testing the weighting methods ───────────
Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-hybridModel.R:194:7
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─forecastHybrid::hybridModel(inputSeries, models = models, weights = weight)
7. └─base::sapply(expandedModels, weightFunction)
8. └─base::lapply(X = X, FUN = FUN, ...)
9. └─forecastHybrid (local) FUN(X[[i]], ...)
10. └─generics::accuracy(modResults[[getModelName(x)]])
── Failure ('test-theta.R:65:3'): Generic `forecast` methods work on thetam objects ──
`accuracy(mod1)` threw an error.
Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
Class: simpleError/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(accuracy(mod1), NA) at test-theta.R:65:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─generics::accuracy(mod1)
[ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc