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 |
| Maintainer: | Nick Parsons <nick.parsons at warwick.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | gsearly results |
| Reference manual: | gsearly.html , gsearly.pdf |
| 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 |
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