Last data update: 2014.03.03
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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
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0 images,
3 functions,
0 datasets
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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
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