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

Documentation:

Reference manual:

OptGS.pdf

Downloads:

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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