% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/postestimation.R
\name{loo.hsstan}
\alias{loo.hsstan}
\alias{loo}
\alias{waic.hsstan}
\alias{waic}
\title{Predictive information criteria for Bayesian models}
\usage{
\method{loo}{hsstan}(x, cores = getOption("mc.cores"), ...)

\method{waic}{hsstan}(x, cores = getOption("mc.cores"), ...)
}
\arguments{
\item{x}{An object of class \code{hsstan}.}

\item{cores}{Number of cores used for parallelisation (the value of
\code{options("mc.cores")} by default).}

\item{...}{Currently ignored.}
}
\value{
A \code{loo} object.
}
\description{
Compute an efficient approximate leave-one-out cross-validation
using Pareto smoothed importance sampling (PSIS-LOO), or the widely
applicable information criterion (WAIC), also known as the Watanabe-Akaike
information criterion.
}
\examples{
\dontshow{utils::example("hsstan", echo=FALSE)}
\dontshow{oldopts <- options(mc.cores=2)}
# continued from ?hsstan
loo(hs.biom)
waic(hs.biom)
\dontshow{options(oldopts)}

}