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Comparing frequentist and Bayesian models #738

@roaldarbol

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@roaldarbol

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).

Might relate to #716.

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