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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>).

Versions across snapshots

VersionRepositoryFileSize
0.0-6 rolling linux/jammy R-4.5 TOC_0.0-6.tar.gz 306.4 KiB
0.0-6 rolling linux/noble R-4.5 TOC_0.0-6.tar.gz 306.3 KiB
0.0-6 rolling source/ R- TOC_0.0-6.tar.gz 231.3 KiB
0.0-6 latest linux/jammy R-4.5 TOC_0.0-6.tar.gz 306.4 KiB
0.0-6 latest linux/noble R-4.5 TOC_0.0-6.tar.gz 306.3 KiB
0.0-6 latest source/ R- TOC_0.0-6.tar.gz 231.3 KiB
0.0-6 2026-04-26 source/ R- TOC_0.0-6.tar.gz 231.3 KiB
0.0-6 2026-04-23 source/ R- TOC_0.0-6.tar.gz 231.3 KiB
0.0-6 2026-04-09 windows/windows R-4.5 TOC_0.0-6.zip 305.8 KiB
0.0-6 2025-04-20 source/ R- TOC_0.0-6.tar.gz 231.3 KiB

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