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

Install the latest version of this package by entering the following in R:
install.packages("TOC")
AuthorRobert G. Pontius <rpontius@clarku.edu>, Al Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si
Date of publication2015-12-29 21:58:08
MaintainerAl Santacruz <amsantac@unal.edu.co>
LicenseGPL (>= 2)
Version0.0-4
http://amsantac.co/software.html

View on CRAN

Files

inst
inst/external
inst/external/Prob_Map2.rst
inst/external/Change_Map2b.rst
inst/external/Change_Map2b.RDC
inst/external/Prob_Map2.RDC
inst/external/MASK4.RDC
inst/external/MASK4.rst
NAMESPACE
R
R/scaling.R R/uncertainty.R R/ROC.R R/plot.R R/TOCnosp.R R/TOC.R R/plotTOC.R R/plotROC.R R/TOCsp.R R/ROCsp.R R/ROCnosp.R R/AAAClasses.R R/roctable.R
MD5
DESCRIPTION
man
man/scaling.Rd man/Toc-classes.Rd man/ROC.Rd man/uncertainty.Rd man/TOC-package.Rd man/TOC.Rd man/plot.Rd man/roctable.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.