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r_test / packages / r-regclust 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.

Installers

  • noarch v1.0

conda install

To install this package run one of the following:
conda install r_test::r-regclust

Description


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