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 DOI: 10.32614/CRAN.package.graposas Author: Jiangtao Gou [aut, cre], Fengqing (Zoe) Zhang [aut] Maintainer: Jiangtao Gou <gouRpackage at gmail.com> License: GPL-3 NeedsCompilation: no CRAN checks: graposas results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=graposas to link to this page.
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