Clinical Trial Simulation R package simtrial version 1.0.2 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. Software Depends: R (>= 4.1.0) Imports: Rcpp, data.table (>= 1.12.4), doFuture, foreach, future, methods, mvtnorm, stats, survival, utils LinkingTo: Rcpp Suggests: Matrix, covr, dplyr, ggplot2, gsDesign, gsDesign2 (>= 1.1.4), gt, knitr, rmarkdown, survMisc, survRM2, testthat (>= 3.0.0), tibble, tidyr Yujie Zhao <yujie.zhao@merck.com> Comprehensive R Archive Network (CRAN) Keaven Anderson [aut], Yujie Zhao [aut, cre], John Blischak [aut], 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], Larry Leon [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph] (ROR: <https://ror.org/02891sr49>) GPL-3 2025-11-20 application/tgz https://CRAN.R-project.org/package=simtrial doi:10.32614/CRAN.package.simtrial