RegClust: Cluster analysis via regression coefficients.
Version 1.0

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
Date of publication2014-02-24 18:22:43
MaintainerMeredith Ray <mere2110@yahoo.com>
LicenseArtistic-2.0
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RegClust")

Try the RegClust package in your browser

Any scripts or data that you put into this service are public.

RegClust documentation built on May 29, 2017, 6:58 p.m.