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svyROC
View on CRAN: Click
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Download and install svyROC package within the R console
Install from CRAN:
install.packages("svyROC")
Install from Github:
library("remotes")
install_github("cran/svyROC")
Install by package version:
library("remotes")
install_version("svyROC", "1.0.0")
Attach the package and use:
library("svyROC")
Maintained by
Amaia Iparragirre
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-25
Latest Update: 2024-10-25
Description:
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>.
How to cite:
Amaia Iparragirre (2024). svyROC: Estimation of the ROC Curve and the AUC for Complex Survey Data. R package version 1.0.0, https://cran.r-project.org/web/packages/svyROC. Accessed 22 Dec. 2024.
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