waic.tridim_transformation {TriDimRegression} | R Documentation |
Computes widely applicable information criterion (WAIC).
Description
Computes widely applicable information criterion via loo library. It can be used for a model comparison via loo::loo_compare() function.
Usage
## S3 method for class 'tridim_transformation'
waic(x, ...)
Arguments
x |
A [tridim_transformation[ |
... |
unused |
Value
A named list, see loo::waic()
for details.
Examples
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))
[Package TriDimRegression version 1.0.2 Index]