The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| DOI: | 10.32614/CRAN.package.multiselect |
| Author: | Allison Meisner |
| Maintainer: | Allison Meisner <allison.meisner at gmail.com> |
| 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: multiselect_0.1.0.zip, r-release: multiselect_0.1.0.zip, r-oldrel: multiselect_0.1.0.zip |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=multiselect to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.