BayesPIM: Bayesian Prevalence-Incidence Mixture Model
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>.
| Version: |
2.0 |
| Depends: |
R (≥ 3.5.0), coda |
| Imports: |
Rcpp, MASS, doParallel, foreach, parallel, actuar, posterior, survival, flexsurv, graphics, grDevices, stats, utils |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, bookdown |
| Published: |
2026-08-21 |
| 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 |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
BayesPIM results |
Documentation:
Downloads:
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