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>.">

svyROC: Estimation of the ROC Curve and the AUC for Complex Survey Data (original) (raw)

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>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: survey, svyVarSel
Published: 2024-10-25
DOI: 10.32614/CRAN.package.svyROC
Author: Amaia Iparragirre ORCID iD [aut, cre, cph], Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Maintainer: Amaia Iparragirre <amaia.iparragirre at ehu.eus>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: svyROC citation info
Materials: README, NEWS
CRAN checks: svyROC results

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