Estimation of the ROC Curve and the AUC for Complex Survey Data R package svyROC version 1.1.0 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>. Software Depends: R (>= 3.5) Imports: survey, svyVarSel Amaia Iparragirre <amaia.iparragirre@ehu.eus> Comprehensive R Archive Network (CRAN) Amaia Iparragirre [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-0660-6535>), Irantzu Barrio [aut], Inmaculada Arostegui [aut] GPL (>= 3) 2026-04-14 application/tgz https://CRAN.R-project.org/package=svyROC doi:10.32614/CRAN.package.svyROC