Show summary of predictive accuracy of the models using the function loo. Unlike brms, the package loo is configured to warn the user if $\hat{k}$ > 0.5 (rather than $\hat{k}$ > 0.5)
I think the second "0.5" should be 0.7, which seems to be the warning threshold in brms.
I think the second "0.5" should be 0.7, which seems to be the warning threshold in
brms.