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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 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>.
Getting started
Browse package contents
Package details |
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| Author | Thomas Klausch [aut, cre] |
| Maintainer | Thomas Klausch <t.klausch@amsterdamumc.nl> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/thomasklausch2/bayespim |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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