penalizedSVM v1.1.2
0
Monthly downloads
Feature Selection SVM using Penalty Functions
Support Vector Machine (SVM) classification with simultaneous feature selection using penalty
functions is implemented. The smoothly clipped absolute deviation (SCAD),
'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic
SCAD' (SCAD and 'L2-norm') penalties are available. The tuning
parameters can be found using either a fixed grid or a interval
search.
Functions in penalizedSVM
| Name | Description | |
| lpsvm | Fit L1-norm SVM | |
| penalizedSVM-package | Feature Selection SVM using Penalty Functions | |
| scadsvc | Fit SCAD SVM model | |
| sim.data | Simulation of microarray data | |
| predict | Predict Method for Feature Selection SVM | |
| penaltySVM-internal | Internal penaltySVM objects | |
| sortmat | Sort matrix or data frame | |
| Print Function for FS SVM | ||
| EPSGO | Fits SVM mit variable selection using penalties. | |
| findgacv.scad | Calculate Generalized Approximate Cross Validation Error Estimation for SCAD SVM model | |
| svmfs | Fits SVM mit variable selection using penalties. | |
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2018-07-13 |
| License | GPL (>= 2) |
| LazyLoad | yes |
| Packaged | 2018-07-26 07:30:47 UTC; BeckeN3 |
| Repository | CRAN |
| Date/Publication | 2018-07-26 09:42:04 |
| RoxygenNote | 6.0.1 |
| NeedsCompilation | no |
| imports | corpcor , lhs , statmod , tgp |
| depends | e1071 , MASS , mlegp |
| Contributors | Natalia Becker, Wiebke Werft, Axel Benner |
Include our badge in your README
[](http://www.rdocumentation.org/packages/penalizedSVM)