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cff-version: 1.2.0
message: 'To cite package "tmfast" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'tmfast: Fast Topic Models Using Varimax'
version: 0.1.1
abstract: Fits topic models using varimax-rotated principal component analysis (PCA),
  following the "vintage factor analysis" approach of Rohe & Zheng (2020) <https://doi.org/10.48550/arXiv.2004.05387>.
  Leverages truncated PCA via 'irlba' for sparse matrices, enabling fast model fitting
  on large corpora. Includes an information-theoretic approach to vocabulary selection,
  'broom'-compatible tidiers for extracting word-topic and topic-document matrices
  into a tidy data workflow, and samplers for constructing simulated corpora for benchmarking
  and method evaluation.
authors:
- family-names: Hicks
  given-names: D.
  email: hicks.daniel.j@gmail.com
  orcid: https://orcid.org/0000-0001-7945-4416
repository: https://cran.r-universe.dev
repository-code: https://github.com/dhicks/tmfast
commit: 1342f37e06e22d9c6cc3fa202ebd8eaefd2a246f
url: https://dhicks.github.io/tmfast/
date-released: '2026-05-30'
contact:
- family-names: Hicks
  given-names: D.
  email: hicks.daniel.j@gmail.com
  orcid: https://orcid.org/0000-0001-7945-4416