waic.brma: WAIC for brma Objects

In RoBMA: Robust Bayesian Meta-Analyses

WAIC for brma Objects

Description

Extract the WAIC object from a brma model object. The WAIC must first be computed using add_waic.

Usage

## S3 method for class 'brma'
waic(x, unit = "estimate", ...)

Arguments

x	a brma model object.
unit	output/deletion unit. See add_loo.
...	additional arguments (currently unused).

Details

This function extracts the WAIC object that was previously computed and stored using object <- add_waic(object, unit = unit). If WAIC has not been computed for the requested unit, an error is thrown.

This is the RoBMA S3 generic and brma method. The method is also registered for waic, so loo::waic(fit) extracts the cached WAIC object for brma fits. Use waic directly for raw log-likelihood arrays or matrices.

In most cases, LOO-PSIS (via loo.brma) is preferred over WAIC because it provides better estimates and includes diagnostics (Pareto k values) that indicate when the approximation may be unreliable.

Value

An object of class "waic" as returned by waic.

See Also

add_waic, loo.brma, waic

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