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gsearly: Creates Group Sequential Trial Designs when Early Outcomes are Available

Methods to construct and power group sequential clinical trial designs for outcomes at multiple times. Outcomes at earlier times provide information on the final (primary) outcome. A range of recruitment and correlation models are available as are methods to simulate data in order to explore design operating characteristics. For more details see Parsons (2024) <doi:10.1186/s12874-024-02174-w>.

Version: 1.0.0
Depends: R (≥ 4.1.2)
Imports: graphics, grDevices, gsDesign (≥ 3.2.1), methods, mvtnorm (≥ 1.2-4), nlme (≥ 3.1-160), stats, utils
Published: 2026-01-23
DOI: 10.32614/CRAN.package.gsearly
Author: Nick Parsons ORCID iD [aut, cre]
Maintainer: Nick Parsons <nick.parsons at warwick.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: gsearly results

Documentation:

Reference manual: gsearly.html , gsearly.pdf

Downloads:

Package source: gsearly_1.0.0.tar.gz
Windows binaries: r-devel: gsearly_1.0.0.zip, r-release: gsearly_1.0.0.zip, r-oldrel: gsearly_1.0.0.zip
macOS binaries: r-release (arm64): gsearly_1.0.0.tgz, r-oldrel (arm64): gsearly_1.0.0.tgz, r-release (x86_64): gsearly_1.0.0.tgz, r-oldrel (x86_64): gsearly_1.0.0.tgz

Linking:

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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.