RegClust: Cluster analysis via regression coefficients

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.

Version: 1.0
Depends: R (≥ 3.0.2)
Published: 2014-02-24
Author: Weichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang
Maintainer: Meredith Ray <mere2110 at yahoo.com>
License: Artistic-2.0
NeedsCompilation: no
CRAN checks: RegClust results

Downloads:

Reference manual: RegClust.pdf
Package source: RegClust_1.0.tar.gz
Windows binaries: r-devel: RegClust_1.0.zip, r-release: RegClust_1.0.zip, r-oldrel: RegClust_1.0.zip
OS X El Capitan binaries: r-release: RegClust_1.0.tgz
OS X Mavericks binaries: r-oldrel: RegClust_1.0.tgz

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