Package: SAGMM
Type: Package
Title: Clustering via Stochastic Approximation and Gaussian Mixture
        Models
Version: 0.2.5
Date: 2025-09-20
Authors@R: c(person(given = c("Andrew", "Thomas"),
                      family = "Jones",
                      role = c("aut", "cre"),
                      email = "andrewthomasjones@gmail.com"),
               person(given = c("Hien", "Duy"),
                      family = "Nguyen",
                      role = "aut"))
Description: Computes clustering by fitting Gaussian mixture models
        (GMM) via stochastic approximation following the methods of
        Nguyen and Jones (2018) <doi:10.1201/9780429446177>. It also
        provides some test data generation and plotting functionality
        to assist with this process.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 0.12.13), MixSim, mclust, stats, lowmemtkmeans
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.3
Suggests: testthat, ggplot2
NeedsCompilation: yes
Packaged: 2026-10-12 11:43:52 UTC; root
Author: Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut]
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-20 09:10:08 UTC
RemoteUrl: https://github.com/cran/SAGMM
RemoteRef: HEAD
RemoteSha: fbf1f45bd0cde3db83407536410b8d737acea7f2