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>.

Version: 1.3.7
Depends: R (≥ 3.5.0), 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: 2023-12-01
DOI: 10.32614/CRAN.package.stm
Author: Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb]
Maintainer: Brandon Stewart <bms4 at>
License: MIT + file LICENSE
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_1.3.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stm_1.3.7.tgz, r-oldrel (arm64): stm_1.3.7.tgz, r-release (x86_64): stm_1.3.7.tgz, r-oldrel (x86_64): stm_1.3.7.tgz
Old sources: stm archive

Reverse dependencies:

Reverse depends: stmgui
Reverse imports: discursive, stmCorrViz, stminsights, Twitmo
Reverse suggests: oolong, sentopics, tidytext, topicdoc
Reverse enhances: quanteda


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