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DESCRIPTION
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DESCRIPTION
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Package: tern
Title: Create Common TLGs Used in Clinical Trials
Version: 0.9.4.9004
Date: 2024-04-29
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
Roxygen: list(markdown = 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'