roccv
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the model using the function cv(). An ROC plot from the cross validation data with AUC can be obtained using rocplot(), which also can be used to compare different models. Framework was built to handle genetic data, but works for any data.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling linux/jammy R-4.5 | roccv_1.2.tar.gz |
22.9 KiB |
1.2 |
rolling linux/noble R-4.5 | roccv_1.2.tar.gz |
22.9 KiB |
1.2 |
rolling source/ R- | roccv_1.2.tar.gz |
4.4 KiB |
1.2 |
latest linux/jammy R-4.5 | roccv_1.2.tar.gz |
22.9 KiB |
1.2 |
latest linux/noble R-4.5 | roccv_1.2.tar.gz |
22.9 KiB |
1.2 |
latest source/ R- | roccv_1.2.tar.gz |
4.4 KiB |
1.2 |
2026-04-26 source/ R- | roccv_1.2.tar.gz |
4.4 KiB |
1.2 |
2026-04-23 source/ R- | roccv_1.2.tar.gz |
4.4 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | roccv_1.2.zip |
25.8 KiB |
1.2 |
2025-04-20 source/ R- | roccv_1.2.tar.gz |
4.4 KiB |