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ROCnGO  

Fast Analysis of ROC Curves
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROCnGO", "0.1.0")



Attach the package and use:
library("ROCnGO")
Maintained by
Pablo Navarro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-17
Latest Update: 2025-07-17
Description:
A toolkit for analyzing classifier performance by using receiver operating characteristic (ROC) curves. Performance may be assessed on a single classifier or multiple ones simultaneously, making it suitable for comparisons. In addition, different metrics allow the evaluation of local performance when working within restricted ranges of sensitivity and specificity. For details on the different implementations, see McClish D. K. (1989) <doi:10.1177/0272989X8900900307>, Vivo J.-M., Franco M. and Vicari D. (2018) <doi:10.1007/S11634-017-0295-9>, Jiang Y., et al (1996) <doi:10.1148/radiology.201.3.8939225>, Franco M. and Vivo J.-M. (2021) <doi:10.3390/math9212826> and Carrington, André M., et al (2020) <doi:10.1186/s12911-019-1014-6>.
How to cite:
Pablo Navarro (2025). ROCnGO: Fast Analysis of ROC Curves. R package version 0.1.0, https://cran.r-project.org/web/packages/ROCnGO. Accessed 26 Oct. 2026.
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Complete documentation for ROCnGO
Functions, R codes and Examples using the ROCnGO R package
Full ROCnGO package functions and examples
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