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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 |
| Author: | Michael Elliot [aut], Zhangchen Zhao [aut], Michael Kleinsasser [aut, cre] |
| Maintainer: | Michael Kleinsasser <biostat-cran-manager at umich.edu> |
| 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 |
| Reference manual: | lcra.pdf |
| Package source: | lcra_1.1.5.tar.gz |
| Windows binaries: | r-devel: lcra_1.1.5.zip, r-release: lcra_1.1.5.zip, r-oldrel: lcra_1.1.5.zip |
| macOS binaries: | r-release (arm64): lcra_1.1.5.tgz, r-oldrel (arm64): lcra_1.1.5.tgz, r-release (x86_64): lcra_1.1.5.tgz, r-oldrel (x86_64): lcra_1.1.5.tgz |
| Old sources: | lcra archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.