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ROCS  

Receiver Operating Characteristics Surface
View on CRAN: Click here


Download and install ROCS package within the R console
Install from CRAN:
install.packages("ROCS")

Install from Github:
library("remotes")
install_github("cran/ROCS")

Install by package version:
library("remotes")
install_version("ROCS", "1.3")



Attach the package and use:
library("ROCS")
Maintained by
Tianwei Yu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-16
Latest Update: 2023-08-18
Description:
Plots the Receiver Operating Characteristics Surface for high-throughput class-skewed data, calculates the Volume under the Surface (VUS) and the FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare two ROC surfaces. Computes eROC curve and the corresponding AUC for imperfect reference standard.
How to cite:
Tianwei Yu (2015). ROCS: Receiver Operating Characteristics Surface. R package version 1.3, https://cran.r-project.org/web/packages/ROCS. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.2 (2015-03-16 17:15), 1.3 (2016-09-03 23:36)
Other packages that cited ROCS R package
View ROCS citation profile
Other R packages that ROCS depends, imports, suggests or enhances
Functions, R codes and Examples using the ROCS R package
Some associated functions: ROCS-package . e.roc . fcauc.comp.fptp . fcauc.fptp . fcauc.x . rocs.fptp . rocs.x . test.rocs . 
Some associated R codes: e.roc.R . fcauc.comp.fptp.R . fcauc.fptp.R . fcauc.x.R . rocs.fptp.R . rocs.x.R . test.rocs.R .  Full ROCS package functions and examples
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