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# CITATION 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 "BayesPIM" in publications use:'
type: software
license: MIT
title: 'BayesPIM: Bayesian Prevalence-Incidence Mixture Model'
version: 1.0.1
doi: 10.32614/CRAN.package.BayesPIM
abstract: Models time-to-event data from interval-censored screening studies. It accounts
  for latent prevalence at baseline and incorporates misclassification due to imperfect
  test sensitivity. For usage details, see the package vignette "BayesPIM_intro".
  Further details can be found in Klausch, Lissenberg-Witte and Coupé (2026) <https://doi.org/10.1002/sim.70433>.
authors:
- family-names: Klausch
  given-names: Thomas
  email: t.klausch@amsterdamumc.nl
repository: https://thomasklausch2.r-universe.dev
repository-code: https://github.com/thomasklausch2/BayesPIM
commit: 7ef8c0aa1332f4d4ffa03d54a476b2376d98040a
url: https://github.com/thomasklausch2/bayespim
date-released: '2026-05-07'
contact:
- family-names: Klausch
  given-names: Thomas
  email: t.klausch@amsterdamumc.nl