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.

AuthorMartin Lauss
Date of publication2010-10-04 10:03:36
MaintainerMartin Lauss <martin.lauss@med.lu.se>
LicenseGPL (>= 2)
Version1.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rocc")

Popular man pages

o.rocc: LOOCV using the ROC based classifier
p.rocc: Making predictions using the ROC based classifier
tr.rocc: Training of a ROC based classifier
See all...

All man pages Function index File listing

Man pages

o.rocc: LOOCV using the ROC based classifier
p.rocc: Making predictions using the ROC based classifier
tr.rocc: Training of a ROC based classifier

Functions

o.rocc Man page Source code
p.rocc Man page Source code
tr.rocc Man page Source code

Files

DESCRIPTION
man
man/o.rocc.Rd
man/p.rocc.Rd
man/tr.rocc.Rd
NAMESPACE
R
R/o.rocc.R
R/p.rocc.R
R/tr.rocc.R
rocc documentation built on May 19, 2017, 4:16 p.m.

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

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

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