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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 |
| Author: |
Kohei Watanabe 
[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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=GMTM
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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.
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