% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/extractors.R
\name{extract_temporal}
\alias{extract_temporal}
\title{Extract temporal (VAR lag) effects}
\usage{
extract_temporal(
  object,
  lag = NULL,
  effect = c("all", "ar", "cl"),
  bayes_factor = FALSE,
  null_value = 0
)
}
\arguments{
\item{object}{A \code{bvarnet} object returned by \code{\link{bvar}}.}

\item{lag}{Integer or \code{NULL}. If specified, only effects from this
lag are returned. Default \code{NULL} (all lags).}

\item{effect}{Character. One of \code{"all"} (default), \code{"ar"}
(autoregressive only), or \code{"cl"} (cross-lagged only).}

\item{bayes_factor}{Logical; if \code{TRUE}, append BF columns.
Default \code{FALSE}.}

\item{null_value}{Numeric; null hypothesis for BF. Default 0.}
}
\value{
A data frame with columns \code{type}, \code{predictor},
\code{outcome}, \code{mean}, \code{median}, \code{q5}, \code{q95},
\code{rhat}, \code{ess_bulk}, \code{ess_tail}, and optionally
\code{BF01}, \code{BF10}.
}
\description{
Returns a data frame of autoregressive and/or cross-lagged parameter
summaries with convergence diagnostics, filtered by lag and effect type.
}
