RegClust: Cluster analysis via regression coefficients.

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This package clusters regression coefficients using the methods of clustering through linear regression models (CLM) (Qin and Self 2006). Maximum likelihood approach is used to infer the parameters for each cluster. Bayesian information criterion (BIC) combined with Bootstrapped maximum volume (BMV) criterion are used to determine the number of clusters.

Author
Weichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang
Date of publication
2014-02-24 18:22:43
Maintainer
Meredith Ray <mere2110@yahoo.com>
License
Artistic-2.0
Version
1.0

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Man pages

cluster.reg
Clustering analysis of regression coefficients.
RegClust-package
A clustering process via regression.

Files in this package

RegClust
RegClust/NAMESPACE
RegClust/R
RegClust/R/cluster.reg.R
RegClust/MD5
RegClust/DESCRIPTION
RegClust/man
RegClust/man/cluster.reg.Rd
RegClust/man/RegClust-package.Rd