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: | 1.0.3 |
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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 |
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 |
Documentation:
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