Bayesian Prevalence-Incidence Mixture Model R package BayesPIM version 1.0.1 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>. Software Depends: R (>= 3.5.0), coda Imports: Rcpp, mvtnorm, MASS, ggamma, doParallel, foreach, parallel, actuar LinkingTo: Rcpp Suggests: knitr, rmarkdown Thomas Klausch <t.klausch@amsterdamumc.nl> Comprehensive R Archive Network (CRAN) Thomas Klausch [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=BayesPIM/LICENSE) 2026-05-08 application/tgz https://CRAN.R-project.org/package=BayesPIM doi:10.32614/CRAN.package.BayesPIM