Package: tern
Title: Create Common TLGs Used in Clinical Trials
Version: 0.9.4
Date: 2024-04-16
Authors@R: c(
    person("Joe", "Zhu", , "joe.zhu@roche.com", role = c("aut", "cre")),
    person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = "aut"),
    person("Jana", "Stoilova", , "jana.stoilova@roche.com", role = "aut"),
    person("Davide", "Garolini", , "davide.garolini@roche.com", role = "aut"),
    person("Emily", "de la Rua", , "emily.de_la_rua@contractors.roche.com", role = "aut"),
    person("Abinaya", "Yogasekaram", , "abinaya.yogasekaram@contractors.roche.com", role = "aut"),
    person("Heng", "Wang", , "wang.heng@gene.com", role = "aut"),
    person("Francois", "Collin", role = "aut"),
    person("Adrian", "Waddell", , "adrian.waddell@gene.com", role = "aut"),
    person("Pawel", "Rucki", , "pawel.rucki@roche.com", role = "aut"),
    person("Chendi", "Liao", , "chendi.liao@roche.com", role = "aut"),
    person("Jennifer", "Li", , "li.jing@gene.com", role = "aut"),
    person("F. Hoffmann-La Roche AG", role = c("cph", "fnd"))
  )
Description: Table, Listings, and Graphs (TLG) library for common outputs
    used in clinical trials.
License: Apache License 2.0
URL: https://insightsengineering.github.io/tern/,
        https://github.com/insightsengineering/tern/
BugReports: https://github.com/insightsengineering/tern/issues
Depends: R (>= 3.6), rtables (>= 0.6.7)
Imports: broom (>= 0.5.4), car (>= 3.0-13), checkmate (>= 2.1.0),
        cowplot (>= 1.0.0), dplyr (>= 1.0.0), emmeans (>= 1.8.0),
        forcats (>= 1.0.0), formatters (>= 0.5.6), ggplot2 (>= 3.5.0),
        grid, gridExtra (>= 2.0.0), gtable (>= 0.3.0), labeling,
        lifecycle (>= 0.2.0), magrittr (>= 1.5), MASS (>= 7.3-60),
        methods, Rdpack (>= 2.4), rlang (>= 1.1.0), scales (>= 1.2.0),
        stats, survival (>= 3.2-13), tibble (>= 2.0.0), tidyr (>=
        0.8.3), utils
Suggests: knitr (>= 1.42), lattice (>= 0.18-4), lubridate (>= 1.7.9),
        nestcolor (>= 0.1.1), rmarkdown (>= 2.19), stringr (>= 1.4.1),
        svglite (>= 2.1.2), testthat (>= 3.1.9), withr (>= 2.0.0)
VignetteBuilder: knitr
RdMacros: lifecycle, Rdpack
Config/Needs/verdepcheck: insightsengineering/rtables,
        tidymodels/broom, cran/car, mllg/checkmate, wilkelab/cowplot,
        tidyverse/dplyr, rvlenth/emmeans, tidyverse/forcats,
        insightsengineering/formatters, tidyverse/ggplot2,
        r-lib/gtable, r-lib/lifecycle, tidyverse/magrittr,
        GeoBosh/Rdpack, r-lib/rlang, r-lib/scales, tidyverse/tibble,
        tidyverse/tidyr, yihui/knitr, deepayan/lattice,
        tidyverse/lubridate, insightsengineering/nestcolor,
        rstudio/rmarkdown, tidyverse/stringr, r-lib/svglite,
        r-lib/testthat, r-lib/withr
Config/Needs/website: insightsengineering/nesttemplate
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.1
Collate: 'formatting_functions.R' 'abnormal.R' 'abnormal_by_baseline.R'
        'abnormal_by_marked.R' 'abnormal_by_worst_grade.R'
        'abnormal_by_worst_grade_worsen.R'
        'analyze_colvars_functions.R' 'analyze_functions.R'
        'analyze_variables.R' 'analyze_vars_in_cols.R'
        'argument_convention.R' 'bland_altman.R'
        'combination_function.R' 'compare_variables.R'
        'control_incidence_rate.R' 'control_logistic.R'
        'control_step.R' 'control_survival.R' 'count_cumulative.R'
        'count_missed_doses.R' 'count_occurrences.R'
        'count_occurrences_by_grade.R'
        'count_patients_events_in_cols.R' 'count_patients_with_event.R'
        'count_patients_with_flags.R' 'count_values.R'
        'cox_regression.R' 'cox_regression_inter.R' 'coxph.R'
        'd_pkparam.R' 'data.R' 'decorate_grob.R'
        'desctools_binom_diff.R' 'df_explicit_na.R'
        'estimate_multinomial_rsp.R' 'estimate_proportion.R'
        'fit_rsp_step.R' 'fit_survival_step.R' 'g_forest.R' 'g_ipp.R'
        'g_km.R' 'g_lineplot.R' 'g_step.R' 'g_waterfall.R'
        'h_adsl_adlb_merge_using_worst_flag.R'
        'h_biomarkers_subgroups.R' 'h_cox_regression.R' 'h_km.R'
        'h_logistic_regression.R' 'h_map_for_count_abnormal.R'
        'h_pkparam_sort.R' 'h_response_biomarkers_subgroups.R'
        'h_response_subgroups.R' 'h_stack_by_baskets.R' 'h_step.R'
        'h_survival_biomarkers_subgroups.R'
        'h_survival_duration_subgroups.R' 'imputation_rule.R'
        'incidence_rate.R' 'logistic_regression.R' 'missing_data.R'
        'odds_ratio.R' 'package.R' 'prop_diff.R' 'prop_diff_test.R'
        'prune_occurrences.R' 'response_biomarkers_subgroups.R'
        'response_subgroups.R' 'riskdiff.R' 'rtables_access.R'
        'score_occurrences.R' 'split_cols_by_groups.R' 'stat.R'
        'summarize_ancova.R' 'summarize_change.R' 'summarize_colvars.R'
        'summarize_coxreg.R' 'summarize_functions.R'
        'summarize_glm_count.R' 'summarize_num_patients.R'
        'summarize_patients_exposure_in_cols.R'
        'survival_biomarkers_subgroups.R' 'survival_coxph_pairwise.R'
        'survival_duration_subgroups.R' 'survival_time.R'
        'survival_timepoint.R' 'utils.R' 'utils_checkmate.R'
        'utils_default_stats_formats_labels.R' 'utils_factor.R'
        'utils_ggplot.R' 'utils_grid.R' 'utils_rtables.R'
        'utils_split_funs.R'
NeedsCompilation: no
Packaged: 2024-04-16 23:11:00 UTC; rstudio
Author: Joe Zhu [aut, cre],
  Daniel Sabanés Bové [aut],
  Jana Stoilova [aut],
  Davide Garolini [aut],
  Emily de la Rua [aut],
  Abinaya Yogasekaram [aut],
  Heng Wang [aut],
  Francois Collin [aut],
  Adrian Waddell [aut],
  Pawel Rucki [aut],
  Chendi Liao [aut],
  Jennifer Li [aut],
  F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>
Repository: CRAN
Date/Publication: 2024-04-17 06:50:02 UTC
Built: R 4.2.3; ; 2024-04-24 03:43:36 UTC; windows
