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.
It appears you don't have a PDF plugin for this browser. You can
click here to download the reference manual.
Brandon Stewart, 2 months ago
Report a bug at https://github.com/bstewart/stm/issues
Browse source code at
Margaret Roberts [aut, cre],
Brandon Stewart [aut, cre],
Dustin Tingley [aut, cre],
Kenneth Benoit [ctb]
MIT + file LICENSE
Imports matrixStats, splines, slam, lda, quanteda, stringr, Matrix, glmnet, Rcpp, grDevices, graphics, stats, utils, data.table, quadprog
Suggests igraph, SnowballC, tm, huge, clue, wordcloud, KernSmooth, NLP, LDAvis, geometry, Rtsne, testthat
Linking to Rcpp, RcppArmadillo
Depended on by
See at CRAN