Last data update: 2014.03.03

rocc

Package: rocc
Title: ROC based classification
Version: 1.2
Depends: ROCR
Author: Martin Lauss
Description: 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.
Maintainer: Martin Lauss <martin.lauss@med.lu.se>
License: GPL (>= 2)
Packaged: 2010-10-04 08:58:00 UTC; Martin
Repository: CRAN
Date/Publication: 2010-10-04 10:03:36

● 0 images, 3 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'rocc' ...
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'rocc'
    finding HTML links ... done
    o.rocc                                  html  
    p.rocc                                  html  
    tr.rocc                                 html  
** building package indices
** testing if installed package can be loaded
* DONE (rocc)
Making 'packages.html' ... done