% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pmm2_ts_methods.R
\name{vcov,TS2fit-method}
\alias{vcov,TS2fit-method}
\title{Variance-covariance matrix for TS2fit AR models}
\usage{
\S4method{vcov}{TS2fit}(object, ...)
}
\arguments{
\item{object}{TS2fit (or subclass) object}

\item{...}{Additional arguments (not used)}
}
\value{
Numeric covariance matrix (AR models only)
}
\description{
For AR models, returns \eqn{\sigma^2 g_2 (X^\top X)^{-1}} where X is the
lagged design matrix. For MA/ARMA/ARIMA models, asymptotic vcov requires
the full Fisher information matrix; use \code{\link{ts_pmm2_inference}} for
bootstrap-based standard errors instead.
}
