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tmfast  

Fast Topic Models Using Varimax
View on CRAN: Click here


Download and install tmfast package within the R console
Install from CRAN:
install.packages("tmfast")

Install from Github:
library("remotes")
install_github("cran/tmfast")

Install by package version:
library("remotes")
install_version("tmfast", "0.1.1")



Attach the package and use:
library("tmfast")
Maintained by
D. Hicks
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-30
Latest Update: 2026-05-30
Description:
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.
How to cite:
D. Hicks (2026). tmfast: Fast Topic Models Using Varimax. R package version 0.1.1, https://cran.r-project.org/web/packages/tmfast. Accessed 22 Jun. 2026.
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