TOC: 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. <doi:10.1080/13658816.2013.862623>).

Version: 0.0-5
Depends: raster, bit, rgdal, methods
Imports: graphics, grDevices, utils
Published: 2020-05-06
Author: Robert G. Pontius, Ali Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si
Maintainer: Ali Santacruz <amsantac at>
License: GPL-3
NeedsCompilation: no
CRAN checks: TOC results


Reference manual: TOC.pdf
Package source: TOC_0.0-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): TOC_0.0-5.tgz, r-release (x86_64): TOC_0.0-5.tgz, r-oldrel: TOC_0.0-5.tgz
Old sources: TOC archive


Please use the canonical form to link to this page.