BayesPIM
2.0Bayesian Prevalence-Incidence Mixture Model
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-099 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 91%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 25%
Downloads
Repository
Releases over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/thomasklausch2/bayespim on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 2.0Latest
- 1.0.12026-05-08 · diff ↗
- unarchivedReturned to CRAN2026-05-08
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-30policy violation On simultaneous use of CPUs
- RR 4.5.0 released · 2025-04-11
- 1.0.02025-03-22
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2026-05-08
- Total releases
- 3 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 409 KB / 1 file
- Download size
- 2.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BayesPIM")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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