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.

Package details

AuthorWeichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang
MaintainerMeredith Ray <>
Package repositoryView on CRAN
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RegClust documentation built on May 2, 2019, 5:56 a.m.