clusters

clusters-methods

clusters,Clere-method

[Clere]: Output object from <code><a rd-options="" href="/link/fitClere?package=clere&version=1.2.0" 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.

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

Micka<c3><ab>l Canouil

clusters function

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

clusters: clusters method

Description

Usage

Arguments

See Also