BayesPIM-package: BayesPIM: Bayesian Prevalence-Incidence Mixture Model

In BayesPIM: Bayesian Prevalence-Incidence Mixture Model

BayesPIM: Bayesian Prevalence-Incidence Mixture Model

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 T. Klausch, B. I. Lissenberg-Witte, and V. M. Coupe (2024), "A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification", \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2412.16065")}.

Author(s)

Maintainer: Thomas Klausch [e-mail]

See Also

Useful links:

• https://github.com/thomasklausch2/bayespim

• Report bugs at https://github.com/thomasklausch2/BayesPIM/issues

BayesPIM documentation built on April 12, 2025, 1:59 a.m.