compute_WAIC: Calculate WAIC
In lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
compute_WAIC R Documentation
Calculate WAIC
Description
Function to compute the Watanabe-Akaike information criterion (Gelman, Hwang,
Vehtari, 2014), which estimates the expected out-of-sample-prediction error
using a bias-corrected adjustment of within-sample error.
Usage
compute_WAIC(model_fit)
Arguments
model_fit
results of a model fit from the lddmm function
Value
A scalar indicating the WAIC (smaller WAIC denotes better fit)
lddmm documentation built on June 7, 2023, 5:28 p.m.
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| compute_WAIC | R Documentation |
Calculate WAIC
Description
Function to compute the Watanabe-Akaike information criterion (Gelman, Hwang, Vehtari, 2014), which estimates the expected out-of-sample-prediction error using a bias-corrected adjustment of within-sample error.
Usage
compute_WAIC(model_fit)
Arguments
model_fit |
results of a model fit from the lddmm function |
Value
A scalar indicating the WAIC (smaller WAIC denotes better fit)
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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