Package: stm
Title: Estimation of the Structural Topic Model
Version: 1.3.7
Authors@R: c(
    person("Margaret", "Roberts", email="meroberts@ucsd.edu", role="aut"),
    person("Brandon", "Stewart", email="bms4@princeton.edu", role=c("aut","cre")),
    person("Dustin", "Tingley", email="dtingley@gov.harvard.edu", role="aut"),
    person("Kenneth","Benoit", email="kbenoit@lse.ac.uk", role="ctb"))
Description: 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>.
Depends: R (>= 3.5.0), methods
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 0.11.3), data.table, glmnet, grDevices, graphics,
        lda, Matrix, matrixStats, parallel, quadprog, quanteda, slam,
        splines, stats, stringr, utils
Suggests: clue, geometry, huge, igraph, LDAvis, KernSmooth, NLP, rsvd,
        Rtsne, SnowballC, spelling, testthat, tm (>= 0.6), wordcloud
Encoding: UTF-8
LazyData: yes
License: MIT + file LICENSE
URL: http://www.structuraltopicmodel.com/
BugReports: https://github.com/bstewart/stm/issues
RoxygenNote: 7.2.3
Language: en-US
NeedsCompilation: yes
Packaged: 2023-12-01 14:43:38 UTC; bms4
Author: Margaret Roberts [aut],
  Brandon Stewart [aut, cre],
  Dustin Tingley [aut],
  Kenneth Benoit [ctb]
Maintainer: Brandon Stewart <bms4@princeton.edu>
Repository: CRAN
Date/Publication: 2023-12-01 22:30:02 UTC
Built: R 4.4.0; aarch64-apple-darwin23.2.0; 2024-05-03 09:10:35 UTC; unix
