mixggm-package: Mixtures of Gaussian graphical models
In michaelfop/mixggm: Mixtures of Gaussian Graphical Models
Description
Details
Author(s)
References
Description
Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices.
Details
A package implementing mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices. Model fitting is carried out by means of a structural-EM algorithm for parameter estimation and graph structure search.
The main functions are mixGGM, searchGGM and fitGGM.
Author(s)
Michael Fop, Luca Scrucca and Thomas Brendan Murphy.
Maintainer: Michael Fop michael.fop@ucd.ie
References
Fop, M., Murphy, T.B., and Scrucca, L. (2019) Model-based clustering with sparse covariance matrices. **Statistics and Computing**, 29:4, 791–819.
michaelfop/mixggm documentation built on July 26, 2019, 8:57 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Details Author(s) References
Description
Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices.
Details
A package implementing mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices. Model fitting is carried out by means of a structural-EM algorithm for parameter estimation and graph structure search.
The main functions are mixGGM, searchGGM and fitGGM.
Author(s)
Michael Fop, Luca Scrucca and Thomas Brendan Murphy.
Maintainer: Michael Fop michael.fop@ucd.ie
References
Fop, M., Murphy, T.B., and Scrucca, L. (2019) Model-based clustering with sparse covariance matrices. **Statistics and Computing**, 29:4, 791–819.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.