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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.3.3) |
| Imports: | coda, dplyr, Hmisc, isotone, questionr, LaplacesDemon, magrittr, MASS, MCMCpack, mvtnorm, Rcpp, purrr, rprojroot, tidyverse, tibble, data.table, ggjoy, ggplot2, stringr, tidyr, ggridges, ggpubr, formula.tools |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-11-09 |
| 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 |
| CRAN checks: | hdpGLM results |
| Reference manual: | hdpGLM.pdf |
| Vignettes: |
hdpGLM |
| Package source: | hdpGLM_1.0.0.tar.gz |
| Windows binaries: | r-devel: hdpGLM_1.0.0.zip, r-release: hdpGLM_1.0.0.zip, r-oldrel: hdpGLM_1.0.0.zip |
| macOS binaries: | r-release: hdpGLM_1.0.0.tgz, r-oldrel: hdpGLM_1.0.0.tgz |
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