% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/extract.R
\name{dependence_summary}
\alias{dependence_summary}
\alias{dependence_summary.default}
\alias{dependence_summary.dcvar_fit}
\alias{dependence_summary.dcvar_covariate_fit}
\alias{dependence_summary.dcvar_hmm_fit}
\alias{dependence_summary.dcvar_constant_fit}
\alias{dependence_summary.dcvar_multilevel_fit}
\alias{dependence_summary.dcvar_sem_fit}
\title{Extract a unified dependence summary}
\usage{
dependence_summary(object, ...)

\method{dependence_summary}{default}(object, ...)

\method{dependence_summary}{dcvar_fit}(object, probs = c(0.025, 0.1, 0.5, 0.9, 0.975), ...)

\method{dependence_summary}{dcvar_covariate_fit}(object, probs = c(0.025, 0.1, 0.5, 0.9, 0.975), ...)

\method{dependence_summary}{dcvar_hmm_fit}(object, probs = c(0.025, 0.1, 0.5, 0.9, 0.975), ...)

\method{dependence_summary}{dcvar_constant_fit}(object, probs = c(0.025, 0.1, 0.5, 0.9, 0.975), ...)

\method{dependence_summary}{dcvar_multilevel_fit}(object, probs = c(0.025, 0.1, 0.5, 0.9, 0.975), ...)

\method{dependence_summary}{dcvar_sem_fit}(object, probs = c(0.025, 0.1, 0.5, 0.9, 0.975), ...)
}
\arguments{
\item{object}{A fitted model object.}

\item{...}{Additional arguments (unused).}

\item{probs}{Numeric vector of quantile probabilities.}
}
\value{
A data frame with columns \code{time}, \code{mean}, \code{sd}, and one column per
requested quantile.
}
\description{
Returns posterior summaries for Kendall's tau, using the fitted copula
family to transform the model-specific dependence parameter. For Gaussian
copulas, \code{tau = 2 / pi * asin(rho)}. For Clayton copulas,
\code{tau = theta / (theta + 2)}.
}
