DESCRIPTION

Package: stm
Title: Estimation of the Structural Topic Model
Version: 1.3.3
Authors@R: as.person(c(
    "Margaret Roberts <meroberts@ucsd.edu> [aut]", 
    "Brandon Stewart <bms4@princeton.edu> [aut, cre]",
    "Dustin Tingley <dtingley@gov.harvard.edu> [aut]",
    "Kenneth Benoit <kbenoit@lse.ac.uk> [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>.
Depends: 
  R (>= 3.2.2), 
  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,
  testthat,
  tm (>= 0.6),
  wordcloud
Encoding: UTF-8
LazyData: yes
License: MIT + file LICENSE
URL: http://structuraltopicmodel.com 
BugReports: https://github.com/bstewart/stm/issues
RoxygenNote: 6.1.1