umich-biostatistics/lcra: Bayesian Joint Latent Class and Regression Models

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>.

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.1.2
URL https://github.com/umich-biostatistics/lcra
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("umich-biostatistics/lcra")
umich-biostatistics/lcra documentation built on Aug. 4, 2020, 8:55 p.m.