splot.boot_glasso

Visualizes <code>boot_glasso</code> objects from the Nestimate package.
Plots a partial-correlation network with edge inclusion probabilities
mapped to edge transparency.

internal

Provides tools for the analysis, visualization, and manipulation
of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and
complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package
supports multiple network formats and offers flexible tools for heterogeneous,
multi-layer, and hierarchical network analysis with simple syntax and
extensive toolset.

Sonsoles López-Pernas

cograph

Analysis and Visualization of Complex Networks

Mohammed Saqr

Santtu Tikka

splot.boot_glasso function

<dl><dt>x</dt>
<dd>A <code>boot_glasso</code> object (from Nestimate).</dd>
<dt>use_thresholded</dt>
<dd>Logical: use <code>$thresholded_pcor</code>? If FALSE, uses
<code>$original_pcor</code>. Default TRUE.</dd>
<dt>show_inclusion</dt>
<dd>Logical: scale edge alpha by inclusion probability?
Default TRUE.</dd>
<dt>inclusion_threshold</dt>
<dd>Numeric: minimum inclusion probability to show an edge.
Default <code>1 - x$alpha</code> (i.e. the complement of the alpha level).</dd>
<dt>edge_positive_color</dt>
<dd>Color for positive partial correlations. Default <code>"#2E7D32"</code>.</dd>
<dt>edge_negative_color</dt>
<dd>Color for negative partial correlations. Default <code>"#C62828"</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>splot()</code>.</dd></dl>

Arguments

Plot Nestimate GLASSO Bootstrap Results — splot.boot_glasso

<dl>

<dt>x</dt>
<dd>A <code>boot_glasso</code> object (from Nestimate).</dd>


<dt>use_thresholded</dt>
<dd>Logical: use <code>$thresholded_pcor</code>? If FALSE, uses
<code>$original_pcor</code>. Default TRUE.</dd>


<dt>show_inclusion</dt>
<dd>Logical: scale edge alpha by inclusion probability?
Default TRUE.</dd>


<dt>inclusion_threshold</dt>
<dd>Numeric: minimum inclusion probability to show an edge.
Default <code>1 - x$alpha</code> (i.e. the complement of the alpha level).</dd>


<dt>edge_positive_color</dt>
<dd>Color for positive partial correlations. Default <code>"#2E7D32"</code>.</dd>


<dt>edge_negative_color</dt>
<dd>Color for negative partial correlations. Default <code>"#C62828"</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>splot()</code>.</dd>

</dl>

splot.boot_glasso: Plot Nestimate GLASSO Bootstrap Results

Description

Usage

Value

Arguments