Package: TOC 0.0-6

Ali Santacruz

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>).

Authors:Robert G. Pontius <[email protected]>, Ali Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si

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Peer review:

Bug tracker:https://github.com/amsantac/toc/issues

On CRAN:

5 exports 4 stars 2.61 score 3 dependencies 10 mentions 15 scripts 180 downloads

Last updated 11 months agofrom:ee62de3583. Checks:OK: 7. Indexed: yes.

Exports:ROCroctablescalingTOCuncertainty

Dependencies:bitRcppterra