The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

TwoArmSurvSim: Simulate Survival Data for Randomized Clinical Trials

A system to simulate clinical trials with time to event endpoints. Event simulation is based on Cox models allowing for covariates in addition to the treatment or group factor. Specific drop-out rates (separate from administrative censoring) can be controlled in the simulation. Other features include stratified randomization, non-proportional hazards, different accrual patterns, and event projection (timing to reach the target event) based on interim data.

Version: 0.2
Depends: R (≥ 4.0.0), blockrand, dplyr, survival, simsurv
Published: 2021-02-26
DOI: 10.32614/CRAN.package.TwoArmSurvSim
Author: Bo Zhang [cre, aut], Yi Zhong [aut, ctb], Ginny Peng [aut, ctb], Bin Yao [aut, ctb]
Maintainer: Bo Zhang <bzhang at pumabiotechnology.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: TwoArmSurvSim results

Documentation:

Reference manual: TwoArmSurvSim.pdf

Downloads:

Package source: TwoArmSurvSim_0.2.tar.gz
Windows binaries: r-devel: TwoArmSurvSim_0.2.zip, r-release: TwoArmSurvSim_0.2.zip, r-oldrel: TwoArmSurvSim_0.2.zip
macOS binaries: r-release (arm64): TwoArmSurvSim_0.2.tgz, r-oldrel (arm64): TwoArmSurvSim_0.2.tgz, r-release (x86_64): TwoArmSurvSim_0.2.tgz, r-oldrel (x86_64): TwoArmSurvSim_0.2.tgz
Old sources: TwoArmSurvSim archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TwoArmSurvSim to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.