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.

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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
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RegClust")

Man pages

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

Functions

RegClust Man page
cluster.reg Man page Source code

Files

NAMESPACE
R
R/cluster.reg.R
MD5
DESCRIPTION
man
man/cluster.reg.Rd
man/RegClust-package.Rd
RegClust documentation built on May 29, 2017, 6:58 p.m.