tmfast: Fast Topic Models Using Varimax

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.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	assertthat, purrr, dplyr, tidyr, magrittr, rlang, stringr, tibble, tidyselect, irlba, tidytext, glue, Matrix, generics, psych, cli
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, ggbeeswarm, ggplot2, Rtsne, umap, lpSolve, janeaustenr, stm, tictoc, furrr, reshape2, tmfast.realbooks
Published:	2026-05-30
DOI:	10.32614/CRAN.package.tmfast (may not be active yet)
Author:	D. Hicks [aut, cre, cph]
Maintainer:	D. Hicks <hicks.daniel.j at gmail.com>
BugReports:	https://github.com/dhicks/tmfast/issues
License:	GPL (≥ 3)
URL:	https://dhicks.github.io/tmfast/, https://github.com/dhicks/tmfast
NeedsCompilation:	no
Additional_repositories:	https://dhicks.github.io/drat/
Materials:	README, NEWS
CRAN checks:	tmfast results

Documentation:

Reference manual:	tmfast.html , tmfast.pdf
Vignettes:	Fast topic modeling with real books (source, R code) Fitting topic models with tmfast (source, R code)

Downloads:

Package source:	tmfast_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): tmfast_0.1.1.tgz, r-oldrel (arm64): tmfast_0.1.1.tgz, r-release (x86_64): tmfast_0.1.1.tgz, r-oldrel (x86_64): tmfast_0.1.1.tgz

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