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TOC (version 0.0-6)

Total Operating Characteristic Curve and ROC Curve

Description

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. ).

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Install

install.packages('TOC')

Monthly Downloads

153

Version

0.0-6

License

GPL-3

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Maintainer

Al� Santacruz

Last Published

February 9th, 2023

Functions in TOC (0.0-6)

TOC-package

Total Operating Characteristic (TOC) Curve and ROC Curve
roctable

Construct a basic ROC table
Toc-class

Toc and Roc classes
plot

Plot an object of class Toc or Roc
TOC

Construct the table for the TOC curve
ROC

Construct the table for the ROC curve
uncertainty

Uncertainty in AUC calculation
scaling

scale the output TOC values and change units