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 |
| Maintainer: | Amaia Iparragirre <amaia.iparragirre at ehu.eus> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | svyROC citation info |
| Materials: | README, NEWS |
| CRAN checks: | svyROC results |
| Reference manual: | svyROC.html , svyROC.pdf |
| Package source: | svyROC_1.0.0.tar.gz |
| Windows binaries: | r-devel: svyROC_1.0.0.zip, r-release: svyROC_1.0.0.zip, r-oldrel: svyROC_1.0.0.zip |
| macOS binaries: | r-release (arm64): svyROC_1.0.0.tgz, r-oldrel (arm64): svyROC_1.0.0.tgz, r-release (x86_64): svyROC_1.0.0.tgz, r-oldrel (x86_64): svyROC_1.0.0.tgz |
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