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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | BayesPIM_1.0.1.tar.gz |
321.6 KiB |
1.0.1 |
rolling linux/noble R-4.5 | BayesPIM_1.0.1.tar.gz |
323.5 KiB |
1.0.1 |
rolling source/ R- | BayesPIM_1.0.1.tar.gz |
153.2 KiB |
1.0.1 |
latest linux/jammy R-4.5 | BayesPIM_1.0.1.tar.gz |
321.6 KiB |
1.0.1 |
latest linux/noble R-4.5 | BayesPIM_1.0.1.tar.gz |
323.5 KiB |
1.0.1 |
latest source/ R- | BayesPIM_1.0.1.tar.gz |
153.2 KiB |
1.0.1 |
2026-04-23 source/ R- | BayesPIM_1.0.1.tar.gz |
0 B |
1.0.0 |
2025-04-20 source/ R- | BayesPIM_1.0.0.tar.gz |
148.4 KiB |