% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/extract.R
\name{extract_xi_acf}
\alias{extract_xi_acf}
\title{Extract Univariate Xi-ACF from a Multivariate Xi-Matrix}
\usage{
extract_xi_acf(obj, var, ...)
}
\arguments{
\item{obj}{An object of class \code{xi_matrix}.}

\item{var}{A character string specifying the variable name to extract.}

\item{...}{Additional arguments passed to xi_acf.}
}
\value{
An object of class \code{xi_acf}.
#' @note
This function performs a fresh re-calculation of the surrogate data distribution specifically for the targeted variables.
As a result, two differences from the original matrix output should be expected:
1. **FWER Recalibration:** The global threshold will be recalibrated for the bivariate (or univariate) case, typically making it less conservative and restoring statistical power for the specific pathway.
2. **Monte Carlo Variation:** Due to the randomized nature of surrogate data generation, slight numerical variations in the thresholds and confidence intervals may occur unless a random seed is explicitly set (e.g., `set.seed()`) immediately prior to calling this extraction function.
}
\description{
Extract Univariate Xi-ACF from a Multivariate Xi-Matrix
}
