The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=hdpGLM to link to this page.
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.