% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\name{summary.ShrinkageTrees}
\alias{summary.ShrinkageTrees}
\title{Summarise a ShrinkageTrees model}
\usage{
\method{summary}{ShrinkageTrees}(object, ...)
}
\arguments{
\item{object}{A fitted \code{ShrinkageTrees} model object.}

\item{...}{Currently unused.}
}
\value{
A \code{summary.ShrinkageTrees} object with elements:
\describe{
\item{call}{The original model call.}
\item{outcome_type}{Outcome type (\code{"continuous"}, \code{"binary"},
\code{"right-censored"}, or \code{"interval-censored"}).}
\item{timescale}{Timescale for survival outcomes (\code{"time"} or
\code{"log"}).}
\item{prior}{Prior specification.}
\item{mcmc}{MCMC settings (trees, draws, burn-in).}
\item{data_info}{Training and test data dimensions.}
\item{sigma}{Named vector with posterior mean, SD, and 95 percent
credible interval of sigma (continuous and survival outcomes only).}
\item{predictions}{List with \code{train} (and optionally \code{test})
prediction summaries (mean, SD, range).}
\item{variable_importance}{Named vector of posterior inclusion
probabilities, sorted decreasingly (if available).}
\item{acceptance_ratio}{MCMC acceptance ratio vector.}
\item{diagnostics}{(When \pkg{coda} is installed) A list with
\code{ess} (effective sample size) and, for multi-chain fits,
\code{rhat} (Gelman--Rubin \eqn{\hat{R}}).}
}
}
\description{
Returns an inspectable list with posterior sigma summaries, prediction
summaries, variable importance (posterior inclusion probabilities), and
MCMC diagnostics.
}
\seealso{
\code{\link{print.summary.ShrinkageTrees}},
\code{\link{as.mcmc.list.ShrinkageTrees}},
\code{\link{HorseTrees}}, \code{\link{ShrinkageTrees}}
}
