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svyROC  

Estimation of the ROC Curve and the AUC for Complex Survey Data
View on CRAN: Click here


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
[Scholar Profile | Author Map]
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 Feb. 2025.
Previous versions and publish date:
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Complete documentation for svyROC
Functions, R codes and Examples using the svyROC R package
Full svyROC package functions and examples
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