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pgmm  

Parsimonious Gaussian Mixture Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pgmm", "1.2.7")



Attach the package and use:
library("pgmm")
Maintained by
Paul D. McNicholas
[Scholar Profile | Author Map]
First Published: 2011-12-08
Latest Update: 2022-05-21
Description:
Carries out model-based clustering or classification using parsimonious Gaussian mixture models. McNicholas and Murphy (2008) , McNicholas (2010) , McNicholas and Murphy (2010) , McNicholas et al. (2010) .
How to cite:
Paul D. McNicholas (2011). pgmm: Parsimonious Gaussian Mixture Models. R package version 1.2.7, https://cran.r-project.org/web/packages/pgmm. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2011-12-08 21:09), 1.1 (2014-07-13 08:19), 1.2.1 (2018-03-15 11:49), 1.2.2 (2018-03-18 22:30), 1.2.3 (2018-12-14 06:50), 1.2.4 (2019-12-04 17:10), 1.2.5 (2021-11-03 19:10), 1.2.6 (2022-05-22 01:00), 1.2.7 (2023-09-25 22:00), 1.2 (2015-04-28 06:58)
Other packages that cited pgmm R package
View pgmm citation profile
Other R packages that pgmm depends, imports, suggests or enhances
Complete documentation for pgmm
Functions, R codes and Examples using the pgmm R package
Some associated functions: coffee . olive . pgmm . pgmmEM . wine . 
Some associated R codes: pgmmEM.R .  Full pgmm package functions and examples
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