% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/extract.R
\name{sigma_trajectory}
\alias{sigma_trajectory}
\alias{sigma_trajectory.default}
\alias{sigma_trajectory.dcvar_tv_fit}
\alias{sigma_trajectory.dcvar_sem_tv_fit}
\alias{sigma_trajectory.dcvar_multilevel_tv_fit}
\title{Extract the time-varying residual scale trajectories}
\usage{
sigma_trajectory(object, ...)

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

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

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

\method{sigma_trajectory}{dcvar_multilevel_tv_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
(default: \code{c(0.025, 0.1, 0.5, 0.9, 0.975)}).}
}
\value{
A data frame with columns \code{time}, \code{variable}, \code{mean}, \code{sd}, and
one column per requested quantile.
}
\description{
Returns posterior summaries of the per-variable residual scale paths from
a time-varying DC-VAR fit. The reported value is each margin family's
natural residual scale: the innovation SD for normal/skew-normal
dimensions, and the (time-constant) \code{sigma_exp} / \code{sigma_gam} for
exponential and gamma dimensions. For fits with \code{tv_sigma = FALSE} the
constant baselines are tiled over time so the return shape does not depend
on the flag.
}
\seealso{
\code{\link[=phi_trajectory]{phi_trajectory()}}, \code{\link[=rho_trajectory]{rho_trajectory()}}, \code{\link[=plot_sigma_trajectory]{plot_sigma_trajectory()}}
}
