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TOC  

Total Operating Characteristic Curve and ROC Curve
View on CRAN: Click here


Download and install TOC package within the R console
Install from CRAN:
install.packages("TOC")

Install from Github:
library("remotes")
install_github("cran/TOC")

Install by package version:
library("remotes")
install_version("TOC", "0.0-6")



Attach the package and use:
library("TOC")
Maintained by
Ali Santacruz
[Scholar Profile | Author Map]
First Published: 2015-06-06
Latest Update: 2023-02-09
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>).
How to cite:
Ali Santacruz (2015). TOC: Total Operating Characteristic Curve and ROC Curve. R package version 0.0-6, https://cran.r-project.org/web/packages/TOC. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.0-2 (2015-06-06 01:47), 0.0-3 (2015-08-05 17:21), 0.0-4 (2015-12-29 21:58), 0.0-5 (2020-05-07 00:10)
Other packages that cited TOC R package
View TOC citation profile
Other R packages that TOC depends, imports, suggests or enhances
Complete documentation for TOC
Functions, R codes and Examples using the TOC R package
Some associated functions: ROC . TOC-package . TOC . Toc-classes . plot . roctable . scaling . uncertainty . 
Some associated R codes: AAAClasses.R . ROC.R . ROCnosp.R . ROCsp.R . TOC.R . TOCnosp.R . TOCsp.R . plot.R . plotROC.R . plotTOC.R . roctable.R . scaling.R . uncertainty.R .  Full TOC package functions and examples
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