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: 2025-09-20 08:54:11 UTC; uqajon14
Author: Andrew Thomas Jones [aut, cre],
  Hien Duy Nguyen [aut]
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-20 09:10:08 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 02:43:12 UTC; unix
Archs: SAGMM.so.dSYM
