waic.bnns: Watanabe-Akaike Information Criterion (WAIC) for bnns models
In bnns: Bayesian Neural Network with 'Stan'
waic.bnns R Documentation
Watanabe-Akaike Information Criterion (WAIC) for bnns models
Description
Watanabe-Akaike Information Criterion (WAIC) for bnns models
Usage
## S3 method for class 'bnns'
waic(x, ...)
Arguments
x
A fitted bnns model object.
...
Additional arguments passed to loo::waic().
Value
A waic object containing model comparison metrics.
bnns documentation built on June 8, 2026, 1:06 a.m.
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| waic.bnns | R Documentation |
Watanabe-Akaike Information Criterion (WAIC) for bnns models
Description
Watanabe-Akaike Information Criterion (WAIC) for bnns models
Usage
## S3 method for class 'bnns'
waic(x, ...)
Arguments
x |
A fitted |
... |
Additional arguments passed to |
Value
A waic object containing model comparison metrics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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