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BayesPIM  

Bayesian Prevalence-Incidence Mixture Model
View on CRAN: Click here


Download and install BayesPIM package within the R console
Install from CRAN:
install.packages("BayesPIM")

Install from Github:
library("remotes")
install_github("cran/BayesPIM")

Install by package version:
library("remotes")
install_version("BayesPIM", "1.0.0")



Attach the package and use:
library("BayesPIM")
Maintained by
Thomas Klausch
[Scholar Profile | Author Map]
First Published: 2025-03-22
Latest Update: 2025-03-22
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", <doi:10.48550/arXiv.2412.16065>.
How to cite:
Thomas Klausch (2025). BayesPIM: Bayesian Prevalence-Incidence Mixture Model. R package version 1.0.0, https://cran.r-project.org/web/packages/BayesPIM. Accessed 04 Apr. 2025.
Previous versions and publish date:
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Complete documentation for BayesPIM
Functions, R codes and Examples using the BayesPIM R package
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