Compute LOOIC (leave-one-out cross-validation (LOO) information criterion) and ELPD (expected log predictive density) for Bayesian regressions.
looic(model)
A Bayesian regression model.
A list with four elements, the ELPD, LOOIC and their standard errors.
# NOT RUN {
if (require("rstanarm")) {
model <- stan_glm(mpg ~ wt + cyl, data = mtcars, chains = 1, iter = 500, refresh = 0)
looic(model)
}
# }
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