gsDesign: Group Sequential Design

Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.

Version: 3.6.1
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.1.0), ggplot2 (≥ 3.1.1), graphics, gt, magrittr, methods, r2rtf, rlang, stats, tibble, tidyr, tools, xtable
Suggests: covr, gridExtra, kableExtra, knitr, mvtnorm, ragg, rmarkdown, scales, testthat, utils
Published: 2024-02-13
Author: Keaven Anderson [aut, cre]
Maintainer: Keaven Anderson <keaven_anderson at merck.com>
BugReports: https://github.com/keaven/gsDesign/issues
License: GPL (≥ 3)
Copyright: Copyright 2010, Merck Research Laboratories
URL: https://keaven.github.io/gsDesign/, https://github.com/keaven/gsDesign
NeedsCompilation: yes
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: gsDesign results

Documentation:

Reference manual: gsDesign.pdf
Vignettes: A gentle introduction to group sequential design
Graphical testing for group sequential design
A Cure Model Calendar-Based Design
Spending function overview
Overview of survival endpoint design
Vaccine Efficacy Trial Design
Binomial SPRT
gsDesign package overview
Basic time-to-event group sequential design using gsSurv
Multiplicity graphs
Two-sample normal sample size
Integer sample size and event counts

Downloads:

Package source: gsDesign_3.6.1.tar.gz
Windows binaries: r-devel: gsDesign_3.6.1.zip, r-release: gsDesign_3.6.1.zip, r-oldrel: gsDesign_3.6.1.zip
macOS binaries: r-release (arm64): gsDesign_3.6.1.tgz, r-oldrel (arm64): gsDesign_3.6.1.tgz, r-release (x86_64): gsDesign_3.6.1.tgz
Old sources: gsDesign archive

Reverse dependencies:

Reverse depends: gsbDesign
Reverse imports: BayesOrdDesign, gsDesign2, randomizeR
Reverse suggests: ADCT, gMCPLite, gscounts, ph2bye, ph2mult, RTSA, simtrial

Linking:

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