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 . 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 NeedsCompilation: no Packaged: 2026-10-21 09:37:07 UTC; root Author: Michael Elliot [aut], Zhangchen Zhao [aut], Michael Kleinsasser [aut, cre] Maintainer: Michael Kleinsasser Config/pak/sysreqs: jags Repository: https://cran.r-universe.dev Date/Publication: 2024-03-09 02:34:28 UTC RemoteUrl: https://github.com/cran/lcra RemoteRef: HEAD RemoteSha: 2ba5afa51763c15df8f6219f8ebd9f8b916fe29f