# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "BayesPET" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'BayesPET: Bayesian Prediction of Event Times for Blinded Randomized Controlled
  Trials'
version: 0.1.0
doi: 10.32614/CRAN.package.BayesPET
abstract: Bayesian methods for predicting the calendar time at which a target number
  of events is reached in clinical trials. The methodology applies to both blinded
  and unblinded settings and jointly models enrollment, event-time, and censoring
  processes. The package provides tools for trial data simulation, model fitting using
  'Stan' via the 'rstan' interface, and event time prediction under a wide range of
  trial designs, including varying sample sizes, enrollment patterns, treatment effects,
  and event or censoring time distributions. The package is intended to support interim
  monitoring, operational planning, and decision-making in clinical trial development.
  Methods are described in Fu et al. (2025) <https://doi.org/10.1002/sim.70310>.
authors:
- family-names: He
  given-names: Xinyi
  email: xinyi.he@uth.tmc.edu
- family-names: Fu
  given-names: Jingyan
- family-names: Yuan
  given-names: Ying
repository: https://cran.r-universe.dev
commit: 45fb8b3491f6ce9b776a3296140434d1ec0d2c09
date-released: '2026-02-04'
contact:
- family-names: He
  given-names: Xinyi
  email: xinyi.he@uth.tmc.edu