Last data update: 2014.03.03
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penalizedSVM
Package: penalizedSVM
Type: Package
Title: Feature Selection SVM using penalty functions
Version: 1.1
Date: 2010-08-2
Depends: e1071, MASS, corpcor, statmod, tgp, mlegp, lhs
Author: Natalia Becker, Wiebke Werft, Axel Benner
Maintainer: Natalia Becker <natalia.becker@dkfz.de>
Description: This package provides feature selection SVM using penalty
functions. The smoothly clipped absolute deviation (SCAD),
'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic
SCAD' (SCAD and 'L2-norm') penalties are availible. The tuning
parameters can be founf using either a fixed grid or a interval
search.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-29 08:59:25 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:59:25
● Cran Task View: MachineLearning
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0 images,
11 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'penalizedSVM' ...
** package 'penalizedSVM' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'penalizedSVM'
finding HTML links ... done
EPSGO html
findgacv.scad html
penalizedSVM-internal html
penalizedSVM-package html
predict html
print html
scadsvc html
simulate.data html
sortmat html
svm.1norm html
svm.fs html
** building package indices
** testing if installed package can be loaded
* DONE (penalizedSVM)
Making 'packages.html' ... done
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