gelnet: Generalized Elastic Nets

Implements several extensions of the elastic net regularization scheme. These extensions include individual feature penalties for the L1 term, feature-feature penalties for the L2 term, as well as translation coefficients for the latter.

Author
Artem Sokolov
Date of publication
2016-04-05 08:14:29
Maintainer
Artem Sokolov <artem.sokolov@gmail.com>
License
GPL (>= 3)
Version
1.2.1

View on CRAN

Man pages

adj2lapl
Generate a graph Laplacian
adj2nlapl
Generate a normalized graph Laplacian
gelnet
GELnet for linear regression, binary classification and...
gelnet.cv
k-fold cross-validation for parameter tuning.
gelnet.ker
Kernel models for linear regression, binary classification...
gelnet.lin.obj
Linear regression objective function value
gelnet.logreg.obj
Logistic regression objective function value
gelnet.oneclass.obj
One-class regression objective function value
L1.ceiling
The largest meaningful value of the L1 parameter

Files in this package

gelnet
gelnet/inst
gelnet/inst/doc
gelnet/inst/doc/basics.Rmd
gelnet/inst/doc/basics.html
gelnet/inst/doc/basics.R
gelnet/src
gelnet/src/gelnet.c
gelnet/NAMESPACE
gelnet/R
gelnet/R/gelnet.R
gelnet/vignettes
gelnet/vignettes/basics.Rmd
gelnet/MD5
gelnet/build
gelnet/build/vignette.rds
gelnet/DESCRIPTION
gelnet/man
gelnet/man/gelnet.logreg.obj.Rd
gelnet/man/gelnet.cv.Rd
gelnet/man/gelnet.oneclass.obj.Rd
gelnet/man/L1.ceiling.Rd
gelnet/man/adj2nlapl.Rd
gelnet/man/gelnet.ker.Rd
gelnet/man/gelnet.lin.obj.Rd
gelnet/man/adj2lapl.Rd
gelnet/man/gelnet.Rd
gelnet/CHANGES