Package: BayesPPDSurv
Title: Bayesian Power Prior Design for Survival Outcomes
Version: 1.0.5
Date: 2026-09-27
Authors@R: c(
    person(given = "Yueqi",
           family = "Shen",
           role = c("aut","cre"),
           email = "angieshen6@gmail.com"),
    person(given = "Matthew A.",
           family = "Psioda",
           role = c("aut"),
           email = "matt.a.psioda@gsk.com"),
    person(given = "Joseph G.",
           family = "Ibrahim",
           role = c("aut"),
           email = "ibrahim@bios.unc.edu"))
Description: Bayesian power/type I error calculation and model fitting using 
  the power prior and the normalized power prior for time-to-event endpoints. 
  The proportional hazards model with piecewise constant hazard (piecewise exponential) 
  is implemented. The methodology and examples of 
  applying the package are detailed in <doi:10.32614/RJ-2026-009>.
  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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: Rcpp, dplyr, tidyr
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
Config/testthat/edition: 3
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2026-09-28 00:48:49 UTC; angie
Author: Yueqi Shen [aut, cre],
  Matthew A. Psioda [aut],
  Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <angieshen6@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-28 02:20:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-09-28 11:31:59 UTC; windows
Archs: x64
