lcra: Bayesian Joint Latent Class and Regression Models (original) (raw)
For fitting Bayesian joint latent class and regression models using Gibbs sampling. See the documentation for the model. The technical details of the model implemented here are described in Elliott, Michael R., Zhao, Zhangchen, Mukherjee, Bhramar, Kanaya, Alka, Needham, Belinda L., "Methods to account for uncertainty in latent class assignments when using latent classes as predictors in regression models, with application to acculturation strategy measures" (2020) In press at Epidemiology <doi:10.1097/EDE.0000000000001139>.
Version: | 1.1.5 |
---|---|
Depends: | R (≥ 3.4.0) |
Imports: | rlang, coda, rjags |
Suggests: | R2WinBUGS, gtools |
Published: | 2024-03-08 |
DOI: | 10.32614/CRAN.package.lcra |
Author: | Michael Elliot [aut], Zhangchen Zhao [aut], Michael Kleinsasser [aut, cre] |
Maintainer: | Michael Kleinsasser |
BugReports: | https://github.com/umich-biostatistics/lcra/issues |
License: | GPL-2 |
URL: | https://github.com/umich-biostatistics/lcra |
NeedsCompilation: | no |
SystemRequirements: | JAGS 4.x.y or WinBUGS 1.4 |
Materials: | README |
CRAN checks: | lcra results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=lcrato link to this page.