multiselect: Selecting Combinations of Predictors by Leveraging Multiple AUCs for an Ordered Multilevel Outcome

Uses multiple AUCs to select a combination of predictors when the outcome has multiple (ordered) levels and the focus is discriminating one particular level from the others. This method is most naturally applied to settings where the outcome has three levels. (Meisner, A, Parikh, CR, and Kerr, KF (2017) <>.)

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AuthorAllison Meisner
MaintainerAllison Meisner <>
Package repositoryView on CRAN
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multiselect documentation built on May 2, 2019, 6 a.m.