Other packages > Find by keyword >

ROCR  

Visualizing the Performance of Scoring Classifiers
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROCR", "1.0-11")



Attach the package and use:
library("ROCR")
Maintained by
Felix G.M. Ernst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-02-26
Latest Update: 2020-05-02
Description:
ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parameterized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parameterization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters.
How to cite:
Felix G.M. Ernst (2005). ROCR: Visualizing the Performance of Scoring Classifiers. R package version 1.0-11, https://cran.r-project.org/web/packages/ROCR. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0-1 (2005-02-26 09:55), 1.0-2 (2007-01-30 09:46), 1.0-3 (2009-10-28 08:55), 1.0-4 (2012-10-29 08:57), 1.0-5 (2014-12-07 17:23), 1.0-6 (2015-03-22 09:33), 1.0-7 (2015-03-26 17:12), 1.0-11 (2020-05-02 16:50)
Other packages that cited ROCR R package
View ROCR citation profile
Other R packages that ROCR depends, imports, suggests or enhances
Complete documentation for ROCR
Functions, R codes and Examples using the ROCR R package
Some associated functions: ROCR.hiv . ROCR.simple . ROCR.xval . performance-class . performance . plot-methods . prediction-class . prediction . 
Some associated R codes: ROCR_aux.R . performance.R . performance_measures.R . performance_plots.R . prediction.R . zzz.R .  Full ROCR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA