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) <http://biostats.bepress.com/uwbiostat/paper423/>.)

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

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Reference manual: multiselect.pdf
Package source: multiselect_0.1.0.tar.gz
Windows binaries: r-devel: multiselect_0.1.0.zip, r-release: multiselect_0.1.0.zip, r-oldrel: multiselect_0.1.0.zip
OS X El Capitan binaries: r-release: multiselect_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: not available

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