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SAGMM: Clustering via Stochastic Approximation and Gaussian MixtureModels

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.

Version:0.2.5
Imports:Rcpp (≥ 0.12.13),MixSim,mclust, stats,lowmemtkmeans
LinkingTo:Rcpp,RcppArmadillo
Suggests:testthat,ggplot2
Published:2025-09-20
DOI:10.32614/CRAN.package.SAGMM
Author:Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut]
Maintainer:Andrew Thomas Jones <andrewthomasjones at gmail.com>
License:GPL-3
NeedsCompilation:yes
Materials:NEWS
CRAN checks:SAGMM results

Documentation:

Reference manual:SAGMM.html ,SAGMM.pdf

Downloads:

Package source: SAGMM_0.2.5.tar.gz
Windows binaries: r-devel:SAGMM_0.2.5.zip, r-release:SAGMM_0.2.5.zip, r-oldrel:SAGMM_0.2.5.zip
macOS binaries: r-release (arm64):SAGMM_0.2.5.tgz, r-oldrel (arm64):SAGMM_0.2.5.tgz, r-release (x86_64):SAGMM_0.2.5.tgz, r-oldrel (x86_64):SAGMM_0.2.5.tgz
Old sources: SAGMM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SAGMMto link to this page.


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