svyROC
Estimation of the ROC Curve and the AUC for Complex Survey Data
Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification taking into account complex sampling designs when working with complex survey data. Methods implemented in this package are described in: A. Iparragirre, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | svyROC_1.1.0.tar.gz |
415.5 KiB |
1.1.0 |
rolling linux/noble R-4.5 | svyROC_1.1.0.tar.gz |
415.4 KiB |
1.1.0 |
rolling source/ R- | svyROC_1.1.0.tar.gz |
323.3 KiB |
1.1.0 |
latest linux/jammy R-4.5 | svyROC_1.1.0.tar.gz |
415.5 KiB |
1.1.0 |
latest linux/noble R-4.5 | svyROC_1.1.0.tar.gz |
415.4 KiB |
1.1.0 |
latest source/ R- | svyROC_1.1.0.tar.gz |
323.3 KiB |
1.1.0 |
2026-04-26 source/ R- | svyROC_1.1.0.tar.gz |
323.3 KiB |
1.1.0 |
2026-04-23 source/ R- | svyROC_1.1.0.tar.gz |
323.3 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | svyROC_1.0.0.zip |
214.5 KiB |
1.0.0 |
2025-04-20 source/ R- | svyROC_1.0.0.tar.gz |
149.0 KiB |