hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models

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


Reference manual: hdpGLM.pdf
Vignettes: hdpGLM


Package source: hdpGLM_1.0.3.tar.gz
Windows binaries: r-devel: hdpGLM_1.0.3.zip, r-release: hdpGLM_1.0.3.zip, r-oldrel: hdpGLM_1.0.3.zip
macOS binaries: r-release (arm64): hdpGLM_1.0.3.tgz, r-oldrel (arm64): hdpGLM_1.0.3.tgz, r-release (x86_64): hdpGLM_1.0.3.tgz, r-oldrel (x86_64): hdpGLM_1.0.3.tgz
Old sources: hdpGLM archive


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