CRAN/E | simtrial

simtrial

Clinical Trial Simulation

Installation

About

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.

merck.github.io/simtrial/
github.com/Merck/simtrial
Bug report File report

Key Metrics

Version 0.4.1
R ≥ 4.1.0
Published 2024-05-03 157 days ago
Needs compilation? yes
License GPL-3
CRAN checks simtrial results

Downloads

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Last 90 days 2.276 +20%
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Maintainer

Maintainer

Yujie Zhao

Authors

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
its affiliates

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Approximating an arbitrary hazard function
Computing p-values for Fleming-Harrington weighted logrank tests and the MaxCombo test
Using the Magirr-Burman weights for testing
Simulating time-to-event trials in parallel
Restricted mean survival time (RMST)
Basic tools for time-to-event trial simulation and testing
TTE simulation data manipulations

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

simtrial archive

Depends

R ≥ 4.1.0

Imports

Rcpp
data.table ≥ 1.12.4
doFuture
foreach
future
methods
mvtnorm
rlang
stats
survival
utils

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LinkingTo

Rcpp

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