Is it possible to compare a Bayesian and frequentist model in a meaningful way? I tried compare_performance() for comparing the same model specified with brm and glmmTMB, but the error suggests to me that it might not be possible (or meaningful). Error is:
> performance::compare_performance(
+ mod_ratio_state,
+ bayes_ratio_state)
Error in loo::stacking_weights(lpd_point) :
At least two models are required for stacking weights.
(I'm trying to make a case for using Variance Ratio over ICC, and am trying to pre-empt questions about the model fits).
Is it possible to compare a Bayesian and frequentist model in a meaningful way? I tried
compare_performance()for comparing the same model specified withbrmandglmmTMB, but the error suggests to me that it might not be possible (or meaningful). Error is:(I'm trying to make a case for using Variance Ratio over ICC, and am trying to pre-empt questions about the model fits).
Might relate to https://github.com/easystats/performance/issues/716.