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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.
Getting started
Browse package contents
Package details |
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| Author | Weichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang |
| Maintainer | Meredith Ray <mere2110@yahoo.com> |
| License | Artistic-2.0 |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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