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SAGMM  

Clustering via Stochastic Approximation and Gaussian Mixture Models
View on CRAN: Click here


Download and install SAGMM package within the R console
Install from CRAN:
install.packages("SAGMM")

Install from Github:
library("remotes")
install_github("cran/SAGMM")

Install by package version:
library("remotes")
install_version("SAGMM", "0.2.5")



Attach the package and use:
library("SAGMM")
Maintained by
Andrew T. Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-09
Latest Update: 2019-06-29
Description:
Computes clustering by fitting Gaussian mixture models (GMM) via stochastic approximation following the methods of Nguyen and Jones (2018) . It also provides some test data generation and plotting functionality to assist with this process.
How to cite:
Andrew T. Jones (2019). SAGMM: Clustering via Stochastic Approximation and Gaussian Mixture Models. R package version 0.2.5, https://cran.r-project.org/web/packages/SAGMM. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 0.2.3 (2019-05-09 17:00), 0.2.4 (2019-06-29 07:50)
Other packages that cited SAGMM R package
View SAGMM citation profile
Other R packages that SAGMM depends, imports, suggests or enhances
Complete documentation for SAGMM
Functions, R codes and Examples using the SAGMM R package
Some associated functions: SAGMM . SAGMMFit . gainFactors . generateSimData . 
Some associated R codes: RcppExports.R . main.R .  Full SAGMM package functions and examples
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