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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): GMTM_0.1.0.tgz, r-release (x86_64): GMTM_0.1.0.tgz, r-oldrel (x86_64): GMTM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GMTM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.