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 (may not be active yet)
Author:	Nick Parsons [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

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Package source:	gsearly_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
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): not available

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