Daskify Stats

[bradyrx]

Description

Cleans up the stats module using simply numpy functions and adds explicit dask support with testing.

Fixes #66, #65, #31, #63

Type of change

Please delete options that are not relevant.

• [ ] Bug fix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] This change requires a documentation update

To Do List

• [ ] Update docs/API
• [ ] Update CHANGELOG

How Has This Been Tested?

Checklist (while developing)

• [ ] I have added docstrings to all new functions.
• [ ] I have commented my code, particularly in hard-to-understand areas
• [ ] Tests added for pytest, if necessary.
• [ ] I have updated the sphinx documentation, if necessary.

Pre-Merge Checklist (final steps)

• [ ] I have rebased onto master or develop (wherever I am merging) and dealt with any conflicts.
• [ ] I have squashed commits to a reasonable amount, and force-pushed the squashed commits.
• [ ] I have run make html on the documents to make sure example notebooks still compile.

References

Please add any references to manuscripts, textbooks, etc.

[bradyrx]

This example from Ryan could potentially help: https://nbviewer.jupyter.org/gist/rabernat/30e7b747f0e3583b5b776e4093266114

[aaronspring]

This looks massive and great. Looking forward to review this once it is ready.

[bradyrx]

I'll tag you to review once it's done! Just doing this in surges when I have energy. But should be really robust and have all the dask support we need.

[bradyrx]

See here: https://github.com/scipy/scipy/blob/47ffc1e/scipy/stats/stats.py#L2767-L2882

They call it nan_policy

[bradyrx]

from statsmodels acf : ['none', 'raise', 'conservative', 'drop']

[bradyrx]

Went ahead and merged @aaronspring, since you reviewed this extensively.