Package: TwoArmSurvSim
Title: Simulate Survival Data for Randomized Clinical Trials
Version: 0.2
Authors@R: 
    c(
    person("Bo", "Zhang", email = "bzhang@pumabiotechnology.com", role = c("cre","aut")),
    person("Yi", "Zhong", email = "yi.zhong1006@gmail.com", role = c("aut","ctb")),
    person("Ginny", "Peng", email = "gpeng@pumabiotechnology.com", role = c("aut","ctb")),
    person("Bin", "Yao", email = "BYao@pumabiotechnology.com", role = c("aut","ctb"))
    )
Description: 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.
License: GPL (>= 2)
Depends: R (>= 4.0.0),blockrand,dplyr,survival,simsurv
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-26 07:52:06 UTC; bzhang
Author: Bo Zhang [cre, aut],
  Yi Zhong [aut, ctb],
  Ginny Peng [aut, ctb],
  Bin Yao [aut, ctb]
Maintainer: Bo Zhang <bzhang@pumabiotechnology.com>
Repository: CRAN
Date/Publication: 2021-02-26 08:50:06 UTC
Built: R 4.3.0; ; 2023-07-11 23:34:48 UTC; unix
