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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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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