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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BayesPPDSurv" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'BayesPPDSurv: Bayesian Power Prior Design for Survival Outcomes'
version: 1.0.5
doi: 10.32614/CRAN.package.BayesPPDSurv
abstract: 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 <https://doi.org/10.32614/RJ-2026-009>.
  The Bayesian clinical trial design methodology is described in Chen et al. (2011)
  <https://doi.org/10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019)
  <https://doi.org/10.1093/biostatistics/kxy009>. The proportional hazards model with
  piecewise constant hazard is detailed in Ibrahim et al. (2001) <https://doi.org/10.1007/978-1-4757-3447-8>.
authors:
- family-names: Shen
  given-names: Yueqi
  email: angieshen6@gmail.com
- family-names: Psioda
  given-names: Matthew A.
  email: matt.a.psioda@gsk.com
- family-names: Ibrahim
  given-names: Joseph G.
  email: ibrahim@bios.unc.edu
repository: https://angieshen6.r-universe.dev
commit: 67f7085dfb80b9fe894d9ae2cce366fb4a996dc7
date-released: '2026-09-27'
contact:
- family-names: Shen
  given-names: Yueqi
  email: angieshen6@gmail.com