So I want to build iterations of univariate and multi-response models with different numbers of variables and determine which model is the best? I’ll use variational inference to do this - but I actually don’t know what the steps are to complete a variation inference test. Setting the algorithm to “meanfield” or “fullrank” seems to be involved, but what comes next?

I can’t seem to find a vignette for brms that guides me through the process.

Can someone provide some guidance for variational inference?

Thanks!