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ROCket  

Simple and Fast ROC Curves
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROCket", "1.0.1")



Attach the package and use:
library("ROCket")
Maintained by
Daniel Lazar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-11
Latest Update: 2021-02-17
Description:
A set of functions for receiver operating characteristic (ROC) curve estimation and area under the curve (AUC) calculation. All functions are designed to work with aggregated data; nevertheless, they can also handle raw samples. In 'ROCket', we distinguish two types of ROC curve representations: 1) parametric curves - the true positive rate (TPR) and the false positive rate (FPR) are functions of a parameter (the score), 2) functions - TPR is a function of FPR. There are several ROC curve estimation methods available. An introduction to the mathematical background of the implemented methods (and much more) can be found in de Zea Bermudez, Gon
How to cite:
Daniel Lazar (2021). ROCket: Simple and Fast ROC Curves. R package version 1.0.1, https://cran.r-project.org/web/packages/ROCket. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2021-02-11 16:10)
Other packages that cited ROCket R package
View ROCket citation profile
Other R packages that ROCket depends, imports, suggests or enhances
Complete documentation for ROCket
Functions, R codes and Examples using the ROCket R package
Some associated functions: auc . rkt_ecdf . rkt_prep . rkt_roc . show_methods . variance . 
Some associated R codes: ROCket.R . auc.R . generics.R . rkt_ecdf.R . rkt_prep.R . rkt_roc.R . roc_methods.R . utils.R . zzz.R .  Full ROCket package functions and examples
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