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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>.
Getting started
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Package details |
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| Author | Amaia Iparragirre [aut, cre, cph] (<https://orcid.org/0000-0002-0660-6535>), Irantzu Barrio [aut], Inmaculada Arostegui [aut] |
| Maintainer | Amaia Iparragirre <amaia.iparragirre@ehu.eus> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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