Calculate WAIC for an mlumr_fit — calculate

Watanabe-Akaike Information Criterion (Watanabe 2010) based on the pointwise log-likelihoods. WAIC is asymptotically equivalent to LOO-CV; prefer calculate_loo() when Pareto-k is well-behaved.

Usage

calculate_waic(object, ...)

Arguments

object: An mlumr_fit object.
...: Additional arguments passed to loo::waic().

Value

An object of class waic (see loo::waic()).

Note

As with calculate_loo(), each AgD row is treated as an independent observation. WAIC will be optimistic for AgD rows that share a study (see the note on calculate_loo()).

Examples

if (FALSE) { # \dontrun{
waic_spfa <- calculate_waic(fit_spfa)
} # }