Last data update: 2014.03.03

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
● 0 images, 11 functions, 0 datasets
● 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