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 | 
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=hdpGLM
to link to this page.