Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. The methodology and examples of applying the package are detailed in <doi:10.48550/arXiv.2404.05118>. 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 proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) <doi:10.1007/978-1-4757-3447-8>.
Version: 1.0.3 Depends: R (≥ 2.10) Imports: Rcpp, dplyr, tidyr LinkingTo: Rcpp, RcppArmadillo, RcppDist Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-04-09 DOI: 10.32614/CRAN.package.BayesPPDSurv 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 Materials: NEWS CRAN checks: BayesPPDSurv results Documentation: Reference manual: BayesPPDSurv.html , BayesPPDSurv.pdf Downloads: Package source: BayesPPDSurv_1.0.3.tar.gz Windows binaries: r-devel: BayesPPDSurv_1.0.3.zip, r-release: BayesPPDSurv_1.0.3.zip, r-oldrel: BayesPPDSurv_1.0.3.zip macOS binaries: r-release (arm64): BayesPPDSurv_1.0.3.tgz, r-oldrel (arm64): BayesPPDSurv_1.0.3.tgz, r-release (x86_64): BayesPPDSurv_1.0.3.tgz, r-oldrel (x86_64): BayesPPDSurv_1.0.3.tgz Old sources: BayesPPDSurv archive Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesPPDSurv to link to this page.
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