Package: BayesPIM
Title: Bayesian Prevalence-Incidence Mixture Model
Version: 1.0.1
Authors@R: 
    person("Thomas", "Klausch", email = "t.klausch@amsterdamumc.nl", role = c("aut", "cre"))
Description: 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)
    <doi:10.1002/sim.70433>.
License: MIT + file LICENSE
URL: https://github.com/thomasklausch2/bayespim
BugReports: https://github.com/thomasklausch2/BayesPIM/issues
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, mvtnorm, MASS, ggamma, doParallel, foreach, parallel,
        actuar
Depends: R (>= 3.5.0), coda
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-05-07 13:55:02 UTC; thomasklausch
Author: Thomas Klausch [aut, cre]
Maintainer: Thomas Klausch <t.klausch@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2026-05-08 07:42:36 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-05-08 10:19:05 UTC; unix
Archs: BayesPIM.so.dSYM
