Package: hdpGLM
Title: Hierarchical Dirichlet Process Generalized Linear Models
Version: 1.0.4
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, isotone, questionr, LaplacesDemon,
        magrittr, methods, MASS, MCMCpack, mvtnorm, Rcpp, rprojroot,
        png, purrr, tibble, tidyr, tidyverse
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-19 23:13:17 UTC; diogo
Author: Diogo Ferrari [aut, cre]
Maintainer: Diogo Ferrari <diogoferrari@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-20 01:22:06 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-14 04:04:45 UTC; windows
Archs: x64
