GMTM: Gaussian Mixture Text Models for Topic Analysis

Gaussian mixture models and k-means for topic analysis of dense document vectors. The underlying clustering functions rely on the Armadillo library.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: quanteda (≥ 4.0.0), proxyC, wordvector, Rcpp, RcppArmadillo
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda, testthat
Suggests: testthat, spelling, rmarkdown, knitr
Published: 2026-09-15
DOI: 10.32614/CRAN.package.GMTM (may not be active yet)
Author: Kohei Watanabe ORCID iD [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei at gmail.com>
License: Apache License (≥ 2.0)
NeedsCompilation: yes
Language: en-US
Materials: NEWS
CRAN checks: GMTM results

Documentation:

Reference manual: GMTM.html , GMTM.pdf

Downloads:

Package source: GMTM_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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