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 T. Klausch, B. I. Lissenberg-Witte, and V. M. Coupe (2024), "A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification", <doi:10.48550/arXiv.2412.16065>.
Version: 1.0.0 Depends: R (≥ 3.5.0), coda Imports: Rcpp, mvtnorm, MASS, ggamma, doParallel, foreach, parallel, actuar LinkingTo: Rcpp Suggests: knitr, rmarkdown Published: 2025-03-22 DOI: 10.32614/CRAN.package.BayesPIM Author: Thomas Klausch [aut, cre] Maintainer: Thomas Klausch <t.klausch at amsterdamumc.nl> BugReports: https://github.com/thomasklausch2/BayesPIM/issues License: MIT + file LICENSE URL: https://github.com/thomasklausch2/bayespim NeedsCompilation: yes Materials: README CRAN checks: BayesPIM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesPIM to link to this page.
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