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: 1.0.4 Depends: R (≥ 3.3.3) Imports: coda, data.table, dplyr, formula.tools, 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: 2025-04-20 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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