Package: TOC
Type: Package
Title: Total Operating Characteristic Curve and ROC Curve
Version: 0.0-6
Date: 2023-02-09
Author: Robert G. Pontius <rpontius@clarku.edu>, Ali Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si
Maintainer: Ali Santacruz <amsantac@unal.edu.co>
Depends: terra, bit, methods
Imports: graphics, grDevices, utils
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. <doi:10.1080/13658816.2013.862623>). 
License: GPL-3
BugReports: https://github.com/amsantac/TOC/issues
URL: https://github.com/amsantac/TOC
NeedsCompilation: no
Packaged: 2023-02-09 15:37:26 UTC; spaziu
Repository: CRAN
Date/Publication: 2023-02-09 16:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:52:57 UTC; unix
