clusters

clusters-methods

clusters,Clere-method

[Clere]: Output object from <code><a rd-options="" href="/link/fitClere?package=clere&version=1.1.4" data-mini-rdoc="clere::fitClere">fitClere</a></code>.

object

[numeric]: A numerical <code>threshold &gt; 0.5</code>. If <code>threshold = NULL</code> then the each variable is assigned to the cluster having the largest associated posterior probability.

threshold

Additional arguments, not to be supplied in this version.

This function makes returns the estimated clustering of variables.

methods

method

Clere

Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma et al (2013) <DOI:10.1080/15533174.2012.707849>).

Loic Yengo

clere

Simultaneous Variables Clustering and Regression

clusters function

[Clere]: Output object from <code><a rd-options='' href='fitClere'>fitClere</a></code>.

clusters: clusters method

Description

Usage

Arguments

See Also