Bayesian Power Prior Design for Survival Data R package BayesPPDSurv version 1.0.3 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>. Software Depends: R (>= 2.10) Imports: Rcpp, dplyr, tidyr LinkingTo: Rcpp, RcppArmadillo, RcppDist Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Yueqi Shen <ys137@live.unc.edu> Comprehensive R Archive Network (CRAN) Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut] GPL (>= 3) 2024-04-09 application/tgz https://CRAN.R-project.org/package=BayesPPDSurv doi:10.32614/CRAN.package.BayesPPDSurv