{"push_id":1463818784,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"933014be901a06a26ce7561b15ea3ed91800f288","before":"a7a7d112d75fccfb639574fae9adec7982ab87d3","commits":[{"sha":"933014be901a06a26ce7561b15ea3ed91800f288","author":{"name":"Jenn McHenry","email":"4fa41d123b68fffaa73c63bf38dea2aaa4ea8651@gmail.com"},"message":"Threshold selection and raster conversion script \n\nI took a stab at a threshold selection and raster conversion script over the weekend. \r\n\r\nI believe the paper and the code link you uploaded suggested that maximizing selectivity and sensitivity is one of the more accurate selection methods. The function I used was from the pROC library, which allows you to apply that method via the \"best\" argument and best.method= \"youden\".\r\n\r\nWhat I didn't do was to cross-validate the selection thresholds to get an average for each species. Thoughts on doing this?? The code wouldn't be difficult to add. But the processing time might take a lot longer.","distinct":true,"url":"https://api.github.com/repos/CM26-Climate-Paper/Analysis-code/commits/933014be901a06a26ce7561b15ea3ed91800f288"}]}
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