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DESCRIPTION
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DESCRIPTION
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Package: rpact
Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Version: 4.1.0.9268
Date: 2024-11-07
Authors@R: c(
person(
given = "Gernot",
family = "Wassmer",
email = "gernot.wassmer@rpact.com",
comment = c(ORCID = "0000-0001-9397-1794"),
role = c("aut")
),
person(
given = "Friedrich",
family = "Pahlke",
email = "friedrich.pahlke@rpact.com",
comment = c(ORCID = "0000-0003-2105-2582"),
role = c("aut", "cre")
),
person(
given = "Till",
family = "Jensen",
email = "till.jensen@rpact.com",
role = c("ctb")
),
person(
given = "Stephen",
family = "Schueuerhuis",
email = "stephen.schueuerhuis@charite.de",
role = c("ctb")
),
person(
given = "Tobias",
family = "Muetze",
email = "tobias.muetze@novartis.com",
comment = c(ORCID = "0000-0002-4111-1941"),
role = c("ctb")
))
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
License: LGPL-3
Encoding: UTF-8
LazyData: true
URL: https://www.rpact.org,
https://www.rpact.com,
https://github.com/rpact-com/rpact,
https://rpact-com.github.io/rpact/
BugReports: https://github.com/rpact-com/rpact/issues
Language: en-US
Depends:
R (>= 3.6.0)
Imports:
methods,
stats,
utils,
graphics,
tools,
rlang,
R6 (>= 2.5.1),
knitr (>= 1.19),
Rcpp (>= 1.0.3)
LinkingTo: Rcpp
Suggests:
ggplot2 (>= 3.2.0),
testthat (>= 3.0.0),
rmarkdown (>= 1.10)
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
Config/testthat/parallel: true
Config/testthat/start-first: *analysis*
Collate:
'RcppExports.R'
'f_logger.R'
'class_dictionary.R'
'f_core_constants.R'
'f_core_utilities.R'
'f_core_assertions.R'
'f_analysis_utilities.R'
'f_parameter_set_utilities.R'
'class_core_parameter_set.R'
'class_core_plot_settings.R'
'f_core_plot.R'
'class_design.R'
'f_object_r_code.R'
'f_analysis_base.R'
'class_analysis_dataset.R'
'class_analysis_stage_results.R'
'class_analysis_results.R'
'f_design_general_utilities.R'
'class_time.R'
'class_design_set.R'
'class_design_plan.R'
'class_design_power_and_asn.R'
'class_event_probabilities.R'
'f_simulation_base_counts.R'
'f_simulation_utilities.R'
'f_simulation_base_survival.R'
'class_simulation_results.R'
'class_performance_score.R'
'class_summary.R'
'data.R'
'f_analysis_base_means.R'
'f_analysis_base_rates.R'
'f_analysis_base_survival.R'
'f_analysis_enrichment.R'
'f_analysis_enrichment_means.R'
'f_analysis_enrichment_rates.R'
'f_analysis_enrichment_survival.R'
'f_analysis_multiarm.R'
'f_analysis_multiarm_means.R'
'f_analysis_multiarm_rates.R'
'f_analysis_multiarm_survival.R'
'f_as251.R'
'f_core_output_formats.R'
'f_design_fisher_combination_test.R'
'f_design_group_sequential.R'
'f_design_plan_counts.R'
'f_design_plan_means.R'
'f_design_plan_plot.R'
'f_design_plan_rates.R'
'f_design_plan_survival.R'
'f_design_plan_utilities.R'
'f_quality_assurance.R'
'f_simulation_base_means.R'
'f_simulation_base_rates.R'
'f_simulation_calc_subjects_function.R'
'f_simulation_enrichment.R'
'f_simulation_enrichment_means.R'
'f_simulation_enrichment_rates.R'
'f_simulation_enrichment_survival.R'
'f_simulation_multiarm.R'
'f_simulation_multiarm_means.R'
'f_simulation_multiarm_rates.R'
'f_simulation_multiarm_survival.R'
'f_simulation_performance_score.R'
'f_simulation_plot.R'
'parameter_descriptions.R'
'pkgname.R'