Total Operating Characteristic Curve and ROC Curve

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. ).


Reference manual

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install.packages("TOC")

0.0-6 by Ali Santacruz, 4 years ago


https://github.com/amsantac/TOC


Report a bug at https://github.com/amsantac/TOC/issues


Browse source code at https://github.com/cran/TOC


Authors: Robert G. Pontius <[email protected]> , Ali Santacruz , Amin Tayyebi , Benoit Parmentier , Kangping Si


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, grDevices, utils

Depends on terra, bit, methods


See at CRAN