gsDesign: Group Sequential Design (original) (raw)

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:	3.7.0
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, data.table, gridExtra, kableExtra, knitr, mvtnorm, rmarkdown, scales, testthat, utils, vdiffr
Published:	2025-08-25
DOI:	10.32614/CRAN.package.gsDesign
Author:	Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer:	Keaven Anderson <keaven_anderson at merck.com>
BugReports:	https://github.com/keaven/gsDesign/issues
License:	GPL (≥ 3)
URL:	https://keaven.github.io/gsDesign/,https://github.com/keaven/gsDesign
NeedsCompilation:	yes
Materials:	README, NEWS
In views:	ClinicalTrials, ExperimentalDesign
CRAN checks:	gsDesign results

Documentation:

Reference manual:	gsDesign.html , <gsDesign.pdf>
Vignettes:	Conditional error spending functions (source, R code) Conditional power and conditional error (source, R code) A gentle introduction to group sequential design (source, R code) Graphical testing for group sequential design (source) A cure model calendar-based design (source, R code) Spending function overview (source, R code) Overview of survival endpoint design (source, R code) Vaccine efficacy trial design (source, R code) Binomial SPRT (source, R code) Binomial two arm trial design and analysis (source, R code) gsDesign package overview (source, R code) Basic time-to-event group sequential design using gsSurv (source, R code) Multiplicity graphs (source) Two-sample normal sample size (source, R code) Integer sample size and event counts (source, R code)

Reference manual:

gsDesign.html , <gsDesign.pdf>

Vignettes:

Conditional error spending functions (source, R code) Conditional power and conditional error (source, R code) A gentle introduction to group sequential design (source, R code) Graphical testing for group sequential design (source) A cure model calendar-based design (source, R code) Spending function overview (source, R code) Overview of survival endpoint design (source, R code) Vaccine efficacy trial design (source, R code) Binomial SPRT (source, R code) Binomial two arm trial design and analysis (source, R code) gsDesign package overview (source, R code) Basic time-to-event group sequential design using gsSurv (source, R code) Multiplicity graphs (source) Two-sample normal sample size (source, R code) Integer sample size and event counts (source, R code)

Downloads:

Reverse dependencies:

Reverse depends:	gsbDesign
Reverse imports:	dtlcor, gsDesign2, randomizeR, ssutil
Reverse suggests:	ADCT, BinGSD, gMCPLite, gscounts, multcomp, ph2bye, ph2mult, RTSA, simtrial

Linking:

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