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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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