ggPlot

ggPlot-methods

ggPlot,Clere-method

[Clere]: Output object from <code><a href="/link/fit.clere?package=clere&version=1.1.1" rd-options="" data-mini-rdoc="clere::fit.clere">fit.clere</a></code>.

data

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 href="/link/fit.clere?package=clere&version=1.1.1" rd-options="" data-mini-rdoc="clere::fit.clere">fit.clere</a></code>.

methods

method

Clere

ggplot

The R package 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 DB et al. - 2013).

ggPlot: ggPlot method

Description

Usage

Arguments

See Also