waic.tridim_transformation: Computes widely applicable information criterion (WAIC).

Description Usage Arguments Value Examples

View source: R/waic.R

Description

Computes widely applicable information criterion via loo library. It can be used for a model comparison via loo::loo_compare() function.

Usage

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## S3 method for class 'tridim_transformation'
waic(x, ...)

Arguments

x

A [tridim_transformation[tridim_transformation-class() object

...

unused

Value

A named list, see loo::waic() for details.

Examples

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euc2 <- fit_transformation(depV1+depV2~indepV1+indepV2,
  NakayaData, transformation = 'euclidean')
aff2 <- fit_transformation(depV1+depV2~indepV1+indepV2,
  NakayaData, transformation = 'affine')
loo::loo_compare(waic(euc2), waic(aff2))

TriDimRegression documentation built on May 4, 2021, 9:08 a.m.