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pGMGM  

Estimating Multiple Gaussian Graphical Models (GGM) in Penalized Gaussian Mixture Models (GMM)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pGMGM", "1.0")



Attach the package and use:
library("pGMGM")
Maintained by
Chen Gao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-28
Latest Update: 2023-08-18
Description:
This is an R and C code implementation of the New-SP and New-JGL method of Gao et al. (2016) to perform model-based clustering and multiple graph estimation.
How to cite:
Chen Gao (2016). pGMGM: Estimating Multiple Gaussian Graphical Models (GGM) in Penalized Gaussian Mixture Models (GMM). R package version 1.0, https://cran.r-project.org/web/packages/pGMGM
Previous versions and publish date:
1.0 (2016-06-28 23:33)
Other packages that cited pGMGM R package
View pGMGM citation profile
Other R packages that pGMGM depends, imports, suggests or enhances
Functions, R codes and Examples using the pGMGM R package
Some associated functions: jglfit . pGMM-package . pGMM . 
Some associated R codes: MGGM.path.R . emcl.R . emcljgl.R . emcv.R . emjglcov.R . emnccov.R . fmvnorm.R . obj_L0.R . obj_L12.R . pGMM-internal.R . pGMM.R .  Full pGMGM package functions and examples
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