TOC (0.0-5)

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Total Operating Characteristic Curve and ROC Curve.

https://github.com/amsantac/TOC
http://cran.r-project.org/web/packages/TOC

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. ).

Maintainer: AlĂ­ Santacruz
Author(s): Robert G. Pontius <rpontius@clarku.edu>, Ali Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si

License: GPL-3

Uses: bit, raster, rgdal

Released 22 days ago.


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