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/>.)
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | multiselect_0.1.0.tar.gz |
23.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | multiselect_0.1.0.tar.gz |
23.6 KiB |
0.1.0 |
rolling source/ R- | multiselect_0.1.0.tar.gz |
4.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | multiselect_0.1.0.tar.gz |
23.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | multiselect_0.1.0.tar.gz |
23.6 KiB |
0.1.0 |
latest source/ R- | multiselect_0.1.0.tar.gz |
4.8 KiB |
0.1.0 |
2026-04-26 source/ R- | multiselect_0.1.0.tar.gz |
4.8 KiB |
0.1.0 |
2026-04-23 source/ R- | multiselect_0.1.0.tar.gz |
4.8 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | multiselect_0.1.0.zip |
26.6 KiB |
0.1.0 |
2025-04-20 source/ R- | multiselect_0.1.0.tar.gz |
4.8 KiB |