CRAN/E | TOC

TOC

Total Operating Characteristic Curve and ROC Curve

Installation

About

Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. doi:10.1080/13658816.2013.862623).

github.com/amsantac/TOC
Bug report File report

Key Metrics

Version 0.0-6
Published 2023-02-09 444 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Ali Santacruz

amsantac@unal.edu.co

Authors

Robert G. Pontius
Ali Santacruz
Amin Tayyebi
Benoit Parmentier
Kangping Si

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

TOC archive

Depends

terra
bit
methods

Imports

graphics
grDevices
utils