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
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://www.structuraltopicmodel.com/
NeedsCompilation:	yes
Language:	en-US
Citation:	stm citation info
Materials:	NEWS
In views:	NaturalLanguageProcessing
CRAN checks:	stm results

Documentation:

Reference manual:	stm.pdf
Vignettes:	Using stm

Downloads:

Package source:	stm_1.3.7.tar.gz
Windows binaries:	r-devel: stm_1.3.7.zip, r-release: stm_1.3.7.zip, r-oldrel: stm_1.3.7.zip
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, Twitmo
Reverse suggests:	oolong, sentopics, tidytext, topicdoc
Reverse enhances:	quanteda

Linking:

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