Extending methods for distributional accuracy scores?

Amazing package here, thanks!

I really appreciate the design of extendable models which is so nicely described in your vignette.

It seems that it should also be possible to extend the set of scoring rules, in particular, for distributions, but I would find some guidance helpful. You are probably already familiar with the scoringRules package, https://cran.r-project.org/web/packages/scoringRules/index.html, which does a rather good job IMO of providing a good number of very computationally efficient implementations of scoring rules for distributions, and it would be lovely to see how we might best plug those existing methods into fabletools accuracy calculations.

In particular, I have found the strictly proper rule of Logarithmic score to be an appealing alternative to CRPS, especially under circumstances where underestimating the probability of a rare event can be catastrophic. I believe the implementations in scoringRules could potentially provide improved performance in scoring very large forecasts.

Thanks for considering!