DESCRIPTION

Package: lcra
Version: 1.1.5
Title: Bayesian Joint Latent Class and Regression Models
Type: Package
Description: 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>.
Authors@R: c(
    person(given = "Michael", family = "Elliot", role = c("aut"), email = "mrelliot@umich.edu"),
    person(given = "Zhangchen", family = "Zhao", role = c("aut"), email = "zczhao@umich.edu"),
    person(given = "Michael", family = "Kleinsasser", role = c("aut", "cre"), email = "biostat-cran-manager@umich.edu"))
License: GPL-2
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: 
    R (>= 3.4.0)
Imports: 
    rlang,
    coda,
    rjags
Suggests:
    R2WinBUGS,
    gtools
SystemRequirements: JAGS 4.x.y or WinBUGS 1.4
URL: https://github.com/umich-biostatistics/lcra
BugReports: https://github.com/umich-biostatistics/lcra/issues
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)