graposas: Graphical Approach Optimal Sample Size

Graphical approach provides a useful framework for multiplicity adjustment in clinical trials with multiple endpoints. This package includes statistical methods to optimize sample size over initial weight and transition probability in a graphical approach under a common setting, which is to use marginal power for each endpoint in a trial design. See Zhang, F. and Gou, J. (2023). Sample size optimization for clinical trials using graphical approaches for multiplicity adjustment, Technical Report.

Version: 1.0.0
Depends: R (≥ 4.2.0)
Imports: GA (≥ 3.0.0), graphics (≥ 4.2.0), mvtnorm (≥ 1.1.0), stats (≥ 4.0.0)
Published: 2023-08-17
Author: Jiangtao Gou [aut, cre], Fengqing (Zoe) Zhang [aut]
Maintainer: Jiangtao Gou <gouRpackage at>
License: GPL-3
NeedsCompilation: no
CRAN checks: graposas results


Reference manual: graposas.pdf


Package source: graposas_1.0.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): graposas_1.0.0.tgz, r-release (arm64): graposas_1.0.0.tgz, r-oldrel (arm64): graposas_1.0.0.tgz, r-prerel (x86_64): graposas_1.0.0.tgz, r-release (x86_64): graposas_1.0.0.tgz


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