Package: hdpGLM
Title: Hierarchical Dirichlet Process Generalized Linear Models
Version: 1.0.5
Authors@R: c(person(given="Diogo", family="Ferrari", email="diogoferrari@gmail.com", role=c("aut", "cre")))
Description: 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>.
Depends: R (>= 3.3.3)
License: MIT + file LICENSE
URL: https://github.com/DiogoFerrari/hdpGLM
BugReports: https://github.com/DiogoFerrari/hdpGLM/issues
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: coda, data.table, dplyr, formula.tools, ggplot2, stringr,
        ggridges, ggpubr, Hmisc, LaplacesDemon, magrittr, methods,
        MASS, mvtnorm, Rcpp, purrr, tibble, tidyr
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-10-17 01:39:02 UTC; diogo
Author: Diogo Ferrari [aut, cre]
Maintainer: Diogo Ferrari <diogoferrari@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-17 02:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-05-01 03:57:27 UTC; unix
Archs: hdpGLM.so.dSYM
