Dominique Makowski

Achieved in https://github.com/easystats/parameters

Fair So we'd go with ELPD_DIFF (SE); and LOOIC (weights) +SE? Or just the latter? is the SE for LOOIC super necessary since we have the weights? Should we also...

Moreover, in https://github.com/easystats/report/pull/419, we compute the z-transformed ELPD diff (i.e., normalized by SE). But I think we might as well directly convert it to a p-value given that its asymptotic...

Here is a skeleton, maybe it would make more sense to add it as a method of `test_performance()` rather than `compare_performance()` (?) - maybe `test_performance()` for Bayesian models could be...

I could easily see this as a feature. I think it would be nice as either a different correlation method or a separate function, because if I understand it has...

Should this issue be transferred to `Optim`?

I'm not even sure it is possible to reproduce that in R though... the closest thing I'd see is doing something like [that](https://github.com/rtdists/fddm#alternative-fitting-method-with-nlminb), but I don't think it's implemented for...

Sorry to revive this thread, but I am currently trying to upload data acquired with LSL / LabRecorder to OpenNeuro but it doesn't seem to like .xdf files... Was there...

Assuming my xdfs contains bodily signals (ECG, RSP) and EEG (from muse), any wild guess about what would the best way to do that? I am thinking to open the...

Fair enough, I'm still new to this so I don't have a good grasp of the ecosystem yet Thanks for your help, though, looking forward to seeing how xdf evolves...