hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models (original) (raw)
Implementation of MCMC algorithms to estimate the Hierarchical Dirichlet Process Generalized Linear Model (hdpGLM) presented in the paper Ferrari (2020) Modeling Context-Dependent Latent Heterogeneity, Political Analysis <doi:10.1017/pan.2019.13> and <doi:10.18637/jss.v107.i10>.
| Version: | 1.0.5 |
|---|---|
| Depends: | R (≥ 3.3.3) |
| Imports: | coda, data.table, dplyr, formula.tools, ggplot2, stringr, ggridges, ggpubr, Hmisc, LaplacesDemon, magrittr, methods, MASS, mvtnorm, Rcpp, purrr, tibble, tidyr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-10-17 |
| DOI: | 10.32614/CRAN.package.hdpGLM |
| Author: | Diogo Ferrari [aut, cre] |
| Maintainer: | Diogo Ferrari |
| BugReports: | https://github.com/DiogoFerrari/hdpGLM/issues |
| License: | MIT + file |
| URL: | https://github.com/DiogoFerrari/hdpGLM |
| NeedsCompilation: | yes |
| Citation: | hdpGLM citation info |
| Materials: | README, NEWS |
| CRAN checks: | hdpGLM results |
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