fbroc: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Version 0.4.0

Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.

AuthorErik Peter [aut, cre]
Date of publication2016-06-21 22:39:40
MaintainerErik Peter <jerikpeter@googlemail.com>
LicenseGPL-2
Version0.4.0
URL http://www.epeter-stats.de/roc-curve-analysis-with-fbroc/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("fbroc")

Getting started

README.md

Popular man pages

boot.roc: Bootstrap ROC curve
conf: Generic S3 function to calculate confidence regions for ROC...
fbroc: fbroc: A package for fast bootstrap analysis and comparison...
plot.fbroc.conf.paired: Plots function for object of class 'fbroc.conf.paired'
plot.fbroc.paired.roc: Plots a 'fbroc.paired.roc' object
plot.fbroc.perf.paired: Plots the difference between the bootstrapped performance...
roc.examples: Examples of predictions for ROC curve construction
See all...

All man pages Function index File listing

Man pages

boot.paired.roc: Bootstrap paired ROC curves
boot.roc: Bootstrap ROC curve
boot.tpr.at.fpr: Process bootstrapped TPR/FPR at thresholds matrix into TPR at...
conf: Generic S3 function to calculate confidence regions for ROC...
conf.fbroc.paired.roc: Generates confidence intervals for the difference in TPR...
conf.fbroc.roc: Generates confidence intervals for the TPR for a range of...
extract.roc: Extracts one from two paired ROC curves from a...
fbroc: fbroc: A package for fast bootstrap analysis and comparison...
perf: Generic S3 function to calculate performance estimates for...
perf.fbroc.paired.roc: Calculate performance for paired bootstrapped ROC curves
perf.fbroc.roc: Calculate performance for bootstrapped ROC curve
plot.fbroc.conf: Plots function for object of classfbroc.conf
plot.fbroc.conf.paired: Plots function for object of class 'fbroc.conf.paired'
plot.fbroc.paired.roc: Plots a 'fbroc.paired.roc' object
plot.fbroc.perf: Plots ROC based performance metric as histogram
plot.fbroc.perf.paired: Plots the difference between the bootstrapped performance...
plot.fbroc.roc: Plots a 'fbroc.roc' object
print.fbroc.perf: Prints information about a 'fbroc.perf' object
print.fbroc.perf.paired: Prints information about a 'fbroc.perf.paired' object
print.fbroc.roc: Prints information about a 'fbroc.roc' object
roc.examples: Examples of predictions for ROC curve construction

Functions

Files

src
src/disc_roc.cpp
src/sampler.cpp
src/interface.common.h
src/interface.single.cpp
src/bootstrapper.cpp
src/bootstrapper.h
src/performance.h
src/performance.cpp
src/interface.paired.cpp
src/paired.roc.h
src/paired.roc.cpp
src/interface.common.cpp
src/roc.cpp
src/roc.h
src/RcppExports.cpp
src/sampler.h
NAMESPACE
NEWS.md
data
data/roc.examples.rda
R
R/fbroc.data.doc.R
R/perf.paired.roc.R
R/fbroc.R
R/RcppExports.R
R/fbroc.roc.R
R/fbroc.paired.methods.R
R/fbroc.methods.R
R/fbroc.perf.R
R/fbroc.paired.R
R/fbroc.helper.functions.R
README.md
MD5
DESCRIPTION
man
man/conf.Rd
man/perf.fbroc.paired.roc.Rd
man/fbroc.Rd
man/conf.fbroc.paired.roc.Rd
man/boot.paired.roc.Rd
man/plot.fbroc.roc.Rd
man/plot.fbroc.perf.paired.Rd
man/plot.fbroc.perf.Rd
man/print.fbroc.perf.Rd
man/perf.Rd
man/conf.fbroc.roc.Rd
man/boot.tpr.at.fpr.Rd
man/boot.roc.Rd
man/plot.fbroc.conf.Rd
man/extract.roc.Rd
man/print.fbroc.perf.paired.Rd
man/print.fbroc.roc.Rd
man/plot.fbroc.conf.paired.Rd
man/plot.fbroc.paired.roc.Rd
man/roc.examples.Rd
man/perf.fbroc.roc.Rd
fbroc documentation built on May 20, 2017, 3:18 a.m.

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