rocc: ROC based classification
Version 1.2

Functions for a classification method based on receiver operating characteristics (ROC). Briefly, features are selected according to their ranked AUC value in the training set. The selected features are merged by the mean value to form a metagene. The samples are ranked by their metagene value and the metagene threshold that has the highest accuracy in splitting the training samples is determined. A new sample is classified by its metagene value relative to the threshold. In the first place, the package is aimed at two class problems in gene expression data, but might also apply to other problems.

Getting started

Package details

AuthorMartin Lauss
Date of publication2010-10-04 10:03:36
MaintainerMartin Lauss <[email protected]>
LicenseGPL (>= 2)
Version1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rocc")

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rocc documentation built on May 29, 2017, 6:17 p.m.