Package: graposas 1.0.0
Jiangtao Gou
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.
Authors:
graposas_1.0.0.tar.gz
graposas_1.0.0.tar.gz(r-4.5-noble)graposas_1.0.0.tar.gz(r-4.4-noble)
graposas_1.0.0.tgz(r-4.4-emscripten)graposas_1.0.0.tgz(r-4.3-emscripten)
graposas.pdf |graposas.html✨
graposas/json (API)
| # Install 'graposas' in R: |
| install.packages('graposas', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:c99d3679e2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 01 2024 |
| R-4.5-linux | OK | Sep 01 2024 |
Dependencies:clicodetoolscrayonforeachGAiteratorsmvtnormRcppRcppArmadillo
