splot.boot_glasso: Plot Nestimate GLASSO Bootstrap Results

In cograph: Analysis and Visualization of Complex Networks

Plot Nestimate GLASSO Bootstrap Results

Description

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

Usage

splot.boot_glasso(
  x,
  use_thresholded = TRUE,
  show_inclusion = TRUE,
  inclusion_threshold = NULL,
  edge_positive_color = "#2E7D32",
  edge_negative_color = "#C62828",
  ...
)

Arguments

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

Value

Invisibly returns the plot.

cograph documentation built on April 1, 2026, 1:07 a.m.