OptGS: Near-Optimal Group-Sequential Designs for Continuous Outcomes

Optimal group-sequential designs minimise some function of the expected and maximum sample size whilst controlling the type I error rate and power at a specified level. 'OptGS' provides functions to quickly search for near-optimal group-sequential designs for normally distributed outcomes. The methods used are described in Wason, JMS (2015) <doi:10.18637/jss.v066.i02>.

Version: 1.2
Published: 2024-02-29
DOI: 10.32614/CRAN.package.OptGS
Author: James Wason [aut, cre], John Burkardt [ctb], R O'Neill [ctb]
Maintainer: James Wason <james.wason at newcastle.ac.uk>
License: GPL-2
NeedsCompilation: yes
Citation: OptGS citation info
In views: ExperimentalDesign
CRAN checks: OptGS results


Reference manual: OptGS.pdf


Package source: OptGS_1.2.tar.gz
Windows binaries: r-devel: OptGS_1.2.zip, r-release: OptGS_1.2.zip, r-oldrel: OptGS_1.2.zip
macOS binaries: r-release (arm64): OptGS_1.2.tgz, r-oldrel (arm64): OptGS_1.2.tgz, r-release (x86_64): OptGS_1.2.tgz, r-oldrel (x86_64): OptGS_1.2.tgz
Old sources: OptGS archive


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