I’ve fit a series of models and would next like to combine them via stacking and then evaluate the LOO-CV-generated predictions of that stacked distribution.
As far as I know, the pp_average
function does not allow users to generate LOO-CV predictions. But I wondered if obtaining these predictions is as easy as running loo_predict
on all my models and weighting the nsamples
argument by outputs from model_weights
(see this topic).
Thanks for any assistance!
- Operating System: Windows 11
- brms Version: 2.16.3