performance (version 0.8.0)

looic: LOO-related Indices for Bayesian regressions.

Description

Compute LOOIC (leave-one-out cross-validation (LOO) information criterion) and ELPD (expected log predictive density) for Bayesian regressions. For LOOIC and ELPD, smaller and larger values are respectively indicative of a better fit.

Usage

looic(model, verbose = TRUE)

Arguments

model

A Bayesian regression model.

verbose

Toggle off warnings.

Value

A list with four elements, the ELPD, LOOIC and their standard errors.

Examples

# NOT RUN {
if (require("rstanarm")) {
  model <- stan_glm(mpg ~ wt + cyl, data = mtcars, chains = 1, iter = 500, refresh = 0)
  looic(model)
}
# }