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) <>.)

Version: 0.1.0
Imports: Hmisc
Suggests: MASS
Published: 2018-01-25
DOI: 10.32614/CRAN.package.multiselect
Author: Allison Meisner
Maintainer: Allison Meisner <allison.meisner at>
License: GPL-2
NeedsCompilation: no
CRAN checks: multiselect results


Reference manual: multiselect.pdf


Package source: multiselect_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): multiselect_0.1.0.tgz, r-oldrel (arm64): multiselect_0.1.0.tgz, r-release (x86_64): multiselect_0.1.0.tgz, r-oldrel (x86_64): multiselect_0.1.0.tgz


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