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: |
1.0.3 |
| Depends: |
R (≥ 3.3.3) |
| Imports: |
coda, data.table, dplyr, formula.tools, ggjoy, ggplot2, stringr, ggridges, ggpubr, Hmisc, isotone, questionr, LaplacesDemon, magrittr, methods, MASS, MCMCpack, mvtnorm, Rcpp, rprojroot, png, purrr, tibble, tidyr, tidyverse |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, rmarkdown |
| Published: |
2023-10-12 |
| 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 |