Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Version: | 0.4.1 |
Depends: | R (≥ 4.1.0) |
Imports: | Rcpp, data.table (≥ 1.12.4), doFuture, foreach, future, methods, mvtnorm, rlang, stats, survival, utils |
LinkingTo: | Rcpp |
Suggests: | Matrix, covr, dplyr, ggplot2, gsDesign, gsDesign2, gt, knitr, rmarkdown, survMisc, survRM2, testthat, tidyr |
Published: | 2024-05-03 |
DOI: | 10.32614/CRAN.package.simtrial |
Author: | Keaven Anderson [aut], Yujie Zhao [ctb, cre], John Blischak [ctb], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Shirazi [ctb], Cole Manschot [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph] |
Maintainer: | Yujie Zhao <yujie.zhao at merck.com> |
BugReports: | https://github.com/Merck/simtrial/issues |
License: | GPL-3 |
URL: | https://merck.github.io/simtrial/, https://github.com/Merck/simtrial |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | simtrial results |
Package source: | simtrial_0.4.1.tar.gz |
Windows binaries: | r-devel: simtrial_0.4.1.zip, r-release: simtrial_0.4.1.zip, r-oldrel: simtrial_0.4.1.zip |
macOS binaries: | r-release (arm64): simtrial_0.4.1.tgz, r-oldrel (arm64): simtrial_0.4.1.tgz, r-release (x86_64): simtrial_0.4.1.tgz, r-oldrel (x86_64): simtrial_0.4.1.tgz |
Old sources: | simtrial archive |
Reverse suggests: | gsDesign2 |
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