Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at <arXiv:2112.14616>. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
| Version: | 1.0.7 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, RcppNumerical |
| LinkingTo: | Rcpp, RcppArmadillo, RcppEigen, RcppNumerical |
| Published: | 2022-08-12 |
| Author: | Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut] |
| Maintainer: | Yueqi Shen <ys137 at live.unc.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | BayesPPD results |
| Reference manual: | BayesPPD.pdf |
| Package source: | BayesPPD_1.0.7.tar.gz |
| Windows binaries: | r-devel: BayesPPD_1.0.7.zip, r-release: BayesPPD_1.0.7.zip, r-oldrel: BayesPPD_1.0.7.zip |
| macOS binaries: | r-release (arm64): BayesPPD_1.0.7.tgz, r-oldrel (arm64): BayesPPD_1.0.7.tgz, r-release (x86_64): BayesPPD_1.0.7.tgz, r-oldrel (x86_64): BayesPPD_1.0.7.tgz |
| Old sources: | BayesPPD archive |
Please use the canonical form https://CRAN.R-project.org/package=BayesPPD to link to this page.