check_loo.brma: Check LOO Diagnostics for brma Objects

In RoBMA: Robust Bayesian Meta-Analyses

Check LOO Diagnostics for brma Objects

Description

Check Pareto k diagnostics for a brma model object and warn if any values are high.

Usage

## S3 method for class 'brma'
check_loo(object, unit = "estimate", ...)

Arguments

object	a brma model object.
unit	output/deletion unit. See add_loo.
...	currently unused.

Details

LOO must first be computed with object <- add_loo(object, unit = unit). The method warns when any Pareto k diagnostic is greater than 0.7.

Value

NULL (throws warning if diagnostics are unreliable).

RoBMA documentation built on May 7, 2026, 5:08 p.m.