Package: BayesPIM
Title: Bayesian Prevalence-Incidence Mixture Model
Version: 1.0.0
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 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>.
License: MIT + file LICENSE
URL: https://github.com/thomasklausch2/bayespim
BugReports: https://github.com/thomasklausch2/BayesPIM/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp
Imports: Rcpp, mvtnorm, MASS, ggamma, doParallel, foreach, parallel,
        actuar
Depends: R (>= 3.5.0), coda
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-20 09:17:37 UTC; thoma
Author: Thomas Klausch [aut, cre]
Maintainer: Thomas Klausch <t.klausch@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-03-22 11:40:02 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-03-22 14:20:05 UTC; unix
Archs: BayesPIM.so.dSYM
