I will work on this one

@lbluett just a heads up that over time scores has refined what we include in docstrings.

Here are some links to some recently written docstrings, which can serve as guides/templates:

KGE: https://scores.readthedocs.io/en/stable/api.html#scores.continuous.kge
Interval Score: https://scores.readthedocs.io/en/stable/api.html#scores.continuous.interval_score

Also, while you can wait until you have finished your work before opening a pull request, it is also completely fine to open a draft pull request part way through and request feedback part way through.

@BethEbert requested that we add Spearman rank correlation in #309

It should be straightforward to create using xr.cov and xr.std

Any objections to implementing this using xr.corr like Pearson's correlation is calculated?

@lbluett just a heads up that over time scores has refined what we include in docstrings.

Here are some links to some recently written docstrings, which can serve as guides/templates:

KGE: https://scores.readthedocs.io/en/stable/api.html#scores.continuous.kge Interval Score: https://scores.readthedocs.io/en/stable/api.html#scores.continuous.interval_score

Also, while you can wait until you have finished your work before opening a pull request, it is also completely fine to open a draft pull request part way through and request feedback part way through.

Thanks Steph, appreciate your guidance. I'll open a draft shortly regarding my question above.

@BethEbert requested that we add Spearman rank correlation in #309
It should be straightforward to create using xr.cov and xr.std

Any objections to implementing this using xr.corr like Pearson's correlation is calculated?

I would presume is should be fine. I'll ask someone who's familiar with that part of the codebase to chime in.

ping @nicholasloveday .