hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models
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  <diogoferrari at gmail.com> | 
| BugReports: | https://github.com/DiogoFerrari/hdpGLM/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://github.com/DiogoFerrari/hdpGLM | 
| NeedsCompilation: | yes | 
| Citation: | hdpGLM citation info | 
| Materials: | README, NEWS | 
| CRAN checks: | hdpGLM results | 
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