# ------------------------------------------------
# CITATION.cff 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 "faSTM" in publications use:'
type: software
license: Apache-2.0
title: 'faSTM: Fast Structural Topic Models'
version: 0.0.0.9000
abstract: 'A modern implementation of the Structural Topic Model. faSTM fits the logistic-normal
  STM (with prevalence and content covariates) via a multithreaded Rust core, with
  an opt-in stochastic-variational path for large corpora. It is self-contained: text
  preparation is read from ''quanteda'' or ''tidytext'' objects, model inspection
  (labelTopics with FREX/lift/score, findThoughts, semantic coherence, exclusivity,
  topic correlations) and an estimateEffect() (method-of-composition posterior propagation)
  are built in. The fitted object is structurally compatible with ''stm'' so existing
  analyses migrate with minimal changes.'
authors:
- family-names: Caren
  given-names: Neal
  email: neal.caren@unc.edu
preferred-citation:
  type: manual
  title: 'faSTM: Fast Structural Topic Models'
  authors:
  - family-names: Caren
    given-names: Neal
    email: neal.caren@unc.edu
  year: '2026'
  notes: R package version 0.0.0.9000
  url: https://github.com/nealcaren/faSTM
repository: https://nealcaren.r-universe.dev
repository-code: https://github.com/nealcaren/faSTM
commit: b4ac5c1f0d3ec094b2d5fe06ce9adb6edd9ff34a
url: https://nealcaren.github.io/faSTM/
date-released: '2026-06-27'
contact:
- family-names: Caren
  given-names: Neal
  email: neal.caren@unc.edu
references:
- type: article
  title: 'stm: An R Package for Structural Topic Models'
  authors:
  - family-names: Roberts
    given-names: Margaret E.
  - family-names: Stewart
    given-names: Brandon M.
  - family-names: Tingley
    given-names: Dustin
  journal: Journal of Statistical Software
  year: '2019'
  volume: '91'
  issue: '2'
  doi: 10.18637/jss.v091.i02
  start: '1'
  end: '40'