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 07:45:42 UTC; root
Author: Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G.
        Ibrahim [aut]
Maintainer: Yueqi Shen <angieshen6@gmail.com>
Config/pak/sysreqs: libicu-dev
Repository: https://angieshen6.r-universe.dev
Date/Publication: 2026-09-28 02:20:02 UTC
RemoteUrl: https://github.com/cran/BayesPPDSurv
RemoteRef: HEAD
RemoteSha: 67f7085dfb80b9fe894d9ae2cce366fb4a996dc7