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 unal.edu.co> |
BugReports: | https://github.com/amsantac/TOC/issues |
License: | GPL-3 |
URL: | https://github.com/amsantac/TOC |
NeedsCompilation: | no |
CRAN checks: | TOC results |
Reference manual: | TOC.pdf |
Package source: | TOC_0.0-5.tar.gz |
Windows binaries: | r-devel: TOC_0.0-5.zip, r-release: TOC_0.0-5.zip, r-oldrel: TOC_0.0-5.zip |
macOS binaries: | r-release: TOC_0.0-5.tgz, r-oldrel: TOC_0.0-5.tgz |
Old sources: | TOC archive |
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