I find the documentation of psis confusing (it’s probably me, not the doc).

Suppose I have two vectors of samples v1, v2 and I construct the ratio of r = v1/v2 and my goal is to “regularize” this ratio through Pareto smoothing. How should I use psis and weights to get a smoothed version of r?

How does this help me in smoothening the ratios (weights)? Just to make sure: I don’t want moments or quintiles w.r.t. to the ratios (weights) but the smoothened ratios (weights)

I think the E_loo suggestion worked for me, since after smoothing the ratios (weights) I still want to use them to weight another sequence of samples, extracting mean and quantiles. It appears that E_loo really works with the smoothened weights and does not do any internal normalization bringing the ratios to another scale.