Package: stm 1.3.7
stm: Estimation of the Structural Topic Model
The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et. al. (2014) <doi:10.1111/ajps.12103> and Roberts et. al. (2016) <doi:10.1080/01621459.2016.1141684>. Vignette is Roberts et. al. (2019) <doi:10.18637/jss.v091.i02>.
Authors:
stm_1.3.7.tar.gz
stm_1.3.7.zip(r-4.5)stm_1.3.7.zip(r-4.4)stm_1.3.7.zip(r-4.3)
stm_1.3.7.tgz(r-4.4-x86_64)stm_1.3.7.tgz(r-4.4-arm64)stm_1.3.7.tgz(r-4.3-x86_64)stm_1.3.7.tgz(r-4.3-arm64)
stm_1.3.7.tar.gz(r-4.5-noble)stm_1.3.7.tar.gz(r-4.4-noble)
stm_1.3.7.tgz(r-4.4-emscripten)stm_1.3.7.tgz(r-4.3-emscripten)
stm.pdf |stm.html✨
stm/json (API)
NEWS
# Install 'stm' in R: |
install.packages('stm', repos = c('https://bstewart.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bstewart/stm/issues
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- gadarianFit - Gadarian and Albertson data
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- poliblog5k.meta - CMU 2008 Political Blog Corpus
- poliblog5k.voc - CMU 2008 Political Blog Corpus
Last updated 12 months agofrom:dbabf3405c. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win-x86_64 | NOTE | Nov 10 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 10 2024 |
R-4.4-win-x86_64 | OK | Nov 10 2024 |
R-4.4-mac-x86_64 | OK | Nov 10 2024 |
R-4.4-mac-aarch64 | OK | Nov 10 2024 |
R-4.3-win-x86_64 | OK | Nov 10 2024 |
R-4.3-mac-x86_64 | OK | Nov 10 2024 |
R-4.3-mac-aarch64 | OK | Nov 10 2024 |
Exports:alignCorpusasSTMCorpuscalcfrexcalcliftcalcscorecheckBetacheckResidualscloudconvertCorpusestimateEffecteval.heldoutexclusivityfindThoughtsfindTopicfitNewDocumentsjs.estimatelabelTopicsmake.dtmake.heldoutmakeDesignMatrixmanyTopicsmultiSTMoptimizeDocumentpermutationTestplot.estimateEffectplot.searchKplot.STMplot.topicCorrplotModelsplotQuoteplotRemovedplotTopicLoessprepDocumentsreadCorpusreadLdacssageLabelssearchKselectModelsemanticCoherencestmtextProcessorthetaPosteriortoLDAvistoLDAvisJsontopicCorrtopicLassotopicQualitywriteLdac
Dependencies:clicodetoolsdata.tablefastmatchforeachglmnetglueISOcodesiteratorsjsonlitelatticeldalifecyclemagrittrMatrixmatrixStatsquadprogquantedaRcppRcppArmadilloRcppEigenrlangshapeslamSnowballCstopwordsstringistringrsurvivalvctrsxml2yaml