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Published 20 hours ago • verified publisher icon danlwarren

Build in bootstrap and jackknife functions

Open danlwarren opened this issue 5 years ago • 3 comments

danlwarren avatar May 07 '19 17:05 danlwarren

We should set it up to do bootstrap and jackknife over the data to estimate sampling variance, but also to do variable jackknifes for percent contribution.

danlwarren avatar Sep 03 '19 13:09 danlwarren

For now here's an Rmd file showing how to do bootstraps and repeated train/test partitioning manually, if anyone needs to.
Building-replicate-models.pdf

danlwarren avatar Aug 11 '20 23:08 danlwarren

I'm thinking we might want to generalize the rts.rep code to do this. We can basically just have a "reps type" and "nreps", and then have RTS, the Bohl et al. test, the ENMTools version (RTS on test data), bootstrap, and jackknife. Possibly even allow passing in a vector to do more than one in a single go?

danlwarren avatar Aug 13 '20 09:08 danlwarren