The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | graposas.pdf |
| Package source: | graposas_1.0.0.tar.gz |
| Windows binaries: | r-devel: graposas_1.0.0.zip, r-release: graposas_1.0.0.zip, r-oldrel: graposas_1.0.0.zip |
| macOS binaries: | r-release (arm64): graposas_1.0.0.tgz, r-oldrel (arm64): graposas_1.0.0.tgz, r-release (x86_64): graposas_1.0.0.tgz, r-oldrel (x86_64): graposas_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=graposas to link to this page.
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.
Health stats visible at Monitor.