% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot-nestimate.R
\name{splot.boot_glasso}
\alias{splot.boot_glasso}
\title{Plot Nestimate GLASSO Bootstrap Results}
\usage{
splot.boot_glasso(
  x,
  use_thresholded = TRUE,
  show_inclusion = TRUE,
  inclusion_threshold = NULL,
  edge_positive_color = "#2E7D32",
  edge_negative_color = "#C62828",
  ...
)
}
\arguments{
\item{x}{A \code{boot_glasso} object (from Nestimate).}

\item{use_thresholded}{Logical: use \code{$thresholded_pcor}? If FALSE, uses
\code{$original_pcor}. Default TRUE.}

\item{show_inclusion}{Logical: scale edge alpha by inclusion probability?
Default TRUE.}

\item{inclusion_threshold}{Numeric: minimum inclusion probability to show an edge.
Default \code{1 - x$alpha} (i.e. the complement of the alpha level).}

\item{edge_positive_color}{Color for positive partial correlations. Default \code{"#2E7D32"}.}

\item{edge_negative_color}{Color for negative partial correlations. Default \code{"#C62828"}.}

\item{...}{Additional arguments passed to \code{splot()}.}
}
\value{
Invisibly returns the plot.
}
\description{
Visualizes \code{boot_glasso} objects from the Nestimate package.
Plots a partial-correlation network with edge inclusion probabilities
mapped to edge transparency.
}
\keyword{internal}
