Package: hdpGLM 1.0.3

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>.

Authors:Diogo Ferrari [aut, cre]

hdpGLM_1.0.3.tar.gz
hdpGLM_1.0.3.zip(r-4.5)hdpGLM_1.0.3.zip(r-4.4)hdpGLM_1.0.3.zip(r-4.3)
hdpGLM_1.0.3.tgz(r-4.4-x86_64)hdpGLM_1.0.3.tgz(r-4.4-arm64)hdpGLM_1.0.3.tgz(r-4.3-x86_64)hdpGLM_1.0.3.tgz(r-4.3-arm64)
hdpGLM_1.0.3.tar.gz(r-4.5-noble)hdpGLM_1.0.3.tar.gz(r-4.4-noble)
hdpGLM_1.0.3.tgz(r-4.4-emscripten)hdpGLM_1.0.3.tgz(r-4.3-emscripten)
hdpGLM.pdf |hdpGLM.html✨
hdpGLM/json (API)
NEWS

# Install 'hdpGLM' in R:
install.packages('hdpGLM', repos = c('https://diogoferrari.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/diogoferrari/hdpglm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • welfare - Fake data set with 2000 observations
  • welfare2 - Fake data set with 2000 observations

On CRAN:

dirichlet-process-mixtureshierarchical-clusteringnonparametricnonparametricbayesnpbsemi-parametric

14 exports 11 stars 1.59 score 177 dependencies 5 scripts 306 downloads

Last updated 11 months agofrom:3a892c34a9. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-win-x86_64NOTESep 14 2024
R-4.5-linux-x86_64NOTESep 14 2024
R-4.4-win-x86_64NOTESep 14 2024
R-4.4-mac-x86_64NOTESep 14 2024
R-4.4-mac-aarch64NOTESep 14 2024
R-4.3-win-x86_64NOTESep 14 2024
R-4.3-mac-x86_64NOTESep 14 2024
R-4.3-mac-aarch64NOTESep 14 2024

Exports:classifyhdpGLMhdpGLM_classifyhdpGLM_simParametershdpGLM_simulateDatamcmc_info.dpGLMmcmc_info.hdpGLMnclustersplot_betaplot_beta_simplot_hdpglmplot_pexp_betaplot_tausummary_tidy

Dependencies:abindaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcallrcarcarDatacellrangercheckmateclassclassIntclicliprclustercodacolorspacecommonmarkconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyre1071evaluatefansifarverfastmapfontawesomeforcatsforeignFormulaformula.toolsfsgarglegenericsggjoyggplot2ggpubrggrepelggridgesggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttridsisobandisotonejquerylibjsonliteKernSmoothknitrlabelinglabelledLaplacesDemonlaterlatticelifecyclelme4lubridatemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmunsellmvtnormnlmenloptrnnetnnlsnumDerivopenssloperator.toolspbkrtestpillarpkgconfigpngpolynomprettyunitsprocessxprogresspromisesproxypspurrrquantregquestionrR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrreadxlrematchrematch2reprexrlangrmarkdownrpartrprojrootrstatixrstudioapirvestsassscalesselectrshinysourcetoolsSparseMstringistringrstylersurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisviridisLitevroomwithrxfunxml2xtableyaml

hdpGLM

Rendered fromhdpGLM.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2022-05-04
Started: 2020-10-26