TOC (0.0-4)

0 users

Total Operating Characteristic Curve and ROC Curve.

http://amsantac.co/software.html
http://cran.r-project.org/web/packages/TOC

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. The total operating characteristic to measure diagnostic ability for multiple thresholds. Int. J. Geogr. Inf. Sci. 28 (3), 570-583).

Maintainer: AlĂ­ Santacruz
Author(s): Robert G. Pontius <rpontius@clarku.edu>, Al Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si

License: GPL (>= 2)

Uses: bit, raster, rgdal

Released almost 4 years ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of TOC yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for TOC on google, google scholar, r-help, r-devel.

Visit TOC on R Graphical Manual.