Package: GMTM
Title: Gaussian Mixture Topic Models
Version: 0.2.0
Authors@R: c(person('Kohei', 'Watanabe', role = c('aut', 'cre', 'cph'), email = 'watanabe.kohei@gmail.com', comment = c(ORCID = '0000-0001-6519-5265')),
             person('Sanderson', 'Conrad', role = c('ctb', 'cph'), comment = "C++ code for GMM and k-means"),
             person('Curtin', 'Ryan', role = c('ctb', 'cph'), comment = "C++ code for GMM and k-means"))
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Description: Gaussian mixture models (GMM) and k-means for topic
        analysis of dense document vectors. The underlying clustering
        functions rely on the Armadillo library (Sanderson & Curtin,
        2017) <doi:10.1109/ICSPCS.2017.8270510>.
License: Apache License (>= 2.0)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: quanteda (>= 4.0.0), proxyC, wordvector (>= 0.6.4), Rcpp,
        RcppArmadillo
Suggests: testthat, spelling, rmarkdown, knitr, withr
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0)
Language: en-US
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-10-22 11:18:40 UTC; root
Author: Kohei Watanabe [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0001-6519-5265>), Sanderson Conrad
        [ctb, cph] (C++ code for GMM and k-means), Curtin Ryan [ctb,
        cph] (C++ code for GMM and k-means)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-22 07:50:19 UTC
RemoteUrl: https://github.com/cran/GMTM
RemoteRef: HEAD
RemoteSha: 9c8fdedb6dbb4f2964ccc7cb3f79fac28950d33b