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>.
| Version: | 1.3.5 |
| Depends: | R (≥ 3.2.2), methods |
| Imports: | Rcpp (≥ 0.11.3), data.table, glmnet, grDevices, graphics, lda, Matrix, matrixStats, parallel, quadprog, quanteda, slam, splines, stats, stringr, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | clue, geometry, huge, igraph, LDAvis, KernSmooth, NLP, rsvd, Rtsne, SnowballC, spelling, testthat, tm (≥ 0.6), wordcloud |
| Published: | 2019-12-17 |
| Author: | Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb] |
| Maintainer: | Brandon Stewart <bms4 at princeton.edu> |
| BugReports: | https://github.com/bstewart/stm/issues |
| License: | MIT + file LICENSE |
| URL: | http://structuraltopicmodel.com |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | stm citation info |
| Materials: | NEWS |
| In views: | NaturalLanguageProcessing |
| CRAN checks: | stm results |
| Reference manual: | stm.pdf |
| Vignettes: |
Using stm |
| Package source: | stm_1.3.5.tar.gz |
| Windows binaries: | r-devel: not available, r-release: stm_1.3.5.zip, r-oldrel: stm_1.3.5.zip |
| macOS binaries: | r-release: stm_1.3.5.tgz, r-oldrel: stm_1.3.5.tgz |
| Old sources: | stm archive |
| Reverse depends: | stmgui |
| Reverse imports: | oolong, stmCorrViz, stminsights, themetagenomics |
| Reverse suggests: | quanteda, tidytext |
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