loo.bnns: Leave-One-Out Cross-Validation (LOO) for bnns models
In bnns: Bayesian Neural Network with 'Stan'
loo.bnns R Documentation
Leave-One-Out Cross-Validation (LOO) for bnns models
Description
Leave-One-Out Cross-Validation (LOO) for bnns models
Usage
## S3 method for class 'bnns'
loo(x, ...)
Arguments
x
A fitted bnns model object.
...
Additional arguments passed to loo::loo().
Value
A loo object containing model comparison metrics.
bnns documentation built on June 8, 2026, 1:06 a.m.
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| loo.bnns | R Documentation |
Leave-One-Out Cross-Validation (LOO) for bnns models
Description
Leave-One-Out Cross-Validation (LOO) for bnns models
Usage
## S3 method for class 'bnns'
loo(x, ...)
Arguments
x |
A fitted |
... |
Additional arguments passed to |
Value
A loo 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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