Package: hdpGLM
Title: Hierarchical Dirichlet Process Generalized Linear Models
Version: 1.0.2
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>.
Depends: R (>= 3.3.3)
License: MIT + file LICENSE
URL: https://github.com/DiogoFerrari/hdpGLM,
        http://www.diogoferrari.com/hdpGLM/index.html
BugReports: https://github.com/DiogoFerrari/hdpGLM/issues
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: coda, data.table, dplyr, formula.tools, ggjoy, ggplot2,
        stringr, ggridges, ggpubr, Hmisc, isotone, questionr,
        LaplacesDemon, magrittr, methods, MASS, MCMCpack, mvtnorm,
        Rcpp, rprojroot, purrr, tibble, tidyr, tidyverse
RoxygenNote: 7.1.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-05-06 23:28:00 UTC; diogo
Author: Diogo Ferrari [aut, cre]
Maintainer: Diogo Ferrari <diogoferrari@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-07 00:10:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 20:54:17 UTC; windows
Archs: i386, x64
