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.
- Version1.0.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- svyROC citation info
- Last release10/25/2024
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Team
Amaia Iparragirre
Irantzu Barrio
Show author detailsRolesAuthorInmaculada Arostegui
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- Imports2 packages