plot_mglasso

Plot the object returned by the <code>mglasso</code> function.

Inference of Multiscale graphical models with neighborhood
selection approach. The method is based on solving a convex
optimization problem combining a Lasso and fused-group Lasso
penalties. This allows to infer simultaneously a conditional
independence graph and a clustering partition. The optimization is
based on the Continuation with Nesterov smoothing in a
Shrinkage-Thresholding Algorithm solver (Hadj-Selem et al. 2018)
<doi:10.1109/TMI.2018.2829802> implemented in python.

Edmond Sanou

mglasso

Multiscale Graphical Lasso

Tung Le

Christophe Ambroise

Geneviève Robin

plot_mglasso function

<dl><dt>mglasso_</dt>
<dd>Object of class <code>mglasso</code>.</dd>
<dt>levels_</dt>
<dd>Character vector. Selected levels for which estimated matrices
will be plot. If NULL plot all levels.</dd></dl>

Arguments

Plot mglasso function output. — plot_mglasso

<dl>

<dt>mglasso_</dt>
<dd>Object of class <code>mglasso</code>.</dd>


<dt>levels_</dt>
<dd>Character vector. Selected levels for which estimated matrices
will be plot. If NULL plot all levels.</dd>

</dl>

plot_mglasso: Plot `mglasso` function output.

Description

Usage

Value

Arguments