plot

plot-methods

plot,Clere-method

plot,Clere,ANY-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>.

Additional arguments, not to be supplied in this version.

Graphical summary for MCEM/SEM-Gibbs estimation.
 This function represents the course of the model parameters in view of the iterations of the estimation algorithms implemented in <code><a rd-options="" href="/link/fitClere?package=clere&version=1.1.4" data-mini-rdoc="clere::fitClere">fitClere</a></code>.

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

plot-methods function

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

Graphical summary for MCEM/SEM-Gibbs estimation.
 This function represents the course of the model parameters in view of the iterations of the estimation algorithms implemented in <code><a rd-options='' href='fitClere'>fitClere</a></code>.

plot-methods: plot method

Description

Usage

Arguments

See Also