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penalizedSVM  

Feature Selection SVM using Penalty Functions
View on CRAN: Click here


Download and install penalizedSVM package within the R console
Install from CRAN:
install.packages("penalizedSVM")

Install from Github:
library("remotes")
install_github("cran/penalizedSVM")

Install by package version:
library("remotes")
install_version("penalizedSVM", "1.2.0")



Attach the package and use:
library("penalizedSVM")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-01-14
Latest Update: 2023-03-23
Description:
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.
How to cite:
Frederic Bertrand (2009). penalizedSVM: Feature Selection SVM using Penalty Functions. R package version 1.2.0, https://cran.r-project.org/web/packages/penalizedSVM. Accessed 10 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 1.0 (2009-01-14 19:25), 1.1.1 (2018-07-21 19:11), 1.1.2 (2018-07-26 09:42), 1.1.3 (2022-05-11 09:30), 1.1.4 (2023-03-23 16:10), 1.1 (2012-10-29 08:59)
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Complete documentation for penalizedSVM
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