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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "stm" in publications use:'
type: software
license: MIT
title: 'stm: Estimation of the Structural Topic Model'
version: 1.3.7
doi: 10.18637/jss.v091.i02
identifiers:
- type: doi
  value: 10.32614/CRAN.package.stm
abstract: 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) <https://doi.org/10.1111/ajps.12103> and Roberts et. al.
  (2016) <https://doi.org/10.1080/01621459.2016.1141684>. Vignette is Roberts et.
  al. (2019) <https://doi.org/10.18637/jss.v091.i02>.
authors:
- family-names: Roberts
  given-names: Margaret
  email: meroberts@ucsd.edu
- family-names: Stewart
  given-names: Brandon
  email: bms4@princeton.edu
- family-names: Tingley
  given-names: Dustin
  email: dtingley@gov.harvard.edu
preferred-citation:
  type: article
  title: 'stm: An R Package for Structural Topic Models'
  authors:
  - family-names: Roberts
    given-names: Margaret E.
    email: meroberts@ucsd.edu
  - family-names: Stewart
    given-names: Brandon M.
    email: bms4@princeton.edu
  - family-names: Tingley
    given-names: Dustin
    email: dtingley@gov.harvard.edu
  journal: Journal of Statistical Software
  year: '2019'
  volume: '91'
  issue: '2'
  doi: 10.18637/jss.v091.i02
  start: '1'
  end: '40'
repository: https://bstewart.r-universe.dev
repository-code: https://github.com/bstewart/stm
commit: dbabf3405c660452bffc8bd1aaf72f7ea3867319
url: http://www.structuraltopicmodel.com/
contact:
- family-names: Stewart
  given-names: Brandon
  email: bms4@princeton.edu