https://dhicks.r-universe.devRecent package updates in dhicksR-universehttps://github.com/dhicks.pnghttps://dhicks.r-universe.devWed, 27 May 2026 18:08:07 GMThicks.daniel.j@gmail.com (D. Hicks)Fits topic models using varimax-rotated principal component analysis (PCA), following the "vintage factor analysis" approach of Rohe & Zheng (2020) <doi: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.https://github.com/r-universe/dhicks/actions/runs/26707243175Wed, 27 May 2026 18:08:07 GMTtmfast0.1.1successhttps://dhicks.r-universe.devhttps://github.com/dhicks/tmfastrealbooks.Rmdrealbooks.htmlFast topic modeling with real books2023-03-01 17:50:442026-04-29 21:02:34simulated.Rmdsimulated.htmlFitting topic models (and simulating text data) with tmfast2023-11-15 16:03:472026-05-04 18:08:35