Skip to content

BayesPIM

Bayesian Prevalence-Incidence Mixture Model

v1.0.1 · May 8, 2026 · MIT + file LICENSE

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>.

Downloads

259

Last 30 days

16542nd

599

Last 90 days

795

Last year

Trend: -7.2% (30d vs prior 30d)

CRAN Check Status

13 OK
Show all 13 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 9 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 9, 2026

Dependency Network

Dependencies Reverse dependencies coda Rcpp mvtnorm MASS ggamma doParallel foreach actuar BayesPIM

Version History

2 tracked
new 1.0.1 May 8, 2026
new 1.0.0 Mar 21, 2025