--- a
+++ b/man/loo.hsstan.Rd
@@ -0,0 +1,39 @@
+% 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)}
+
+}