widenet: Penalized Regression with Polynomial Basis Expansions
Version 0.1-2

Extends the glmnet and relaxnet packages with polynomial basis expansions. Basis expansion is applied to the predictors and a subset of the basis functions is chosen using relaxnet. Predictors may be screened using correlation or t-tests. Screening is done separately within cross-validation folds. Cross-validation may be used to select the order of basis expansion and alpha, the elastic net tuning parameter.

AuthorStephan Ritter, Alan Hubbard
Date of publication2013-07-29 21:30:08
MaintainerStephan Ritter <sritter@berkeley.edu>
LicenseGPL (>= 2)
Version0.1-2
URL http://cran.r-project.org/package=widenet
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("widenet")

Popular man pages

predict.widenet: Predict Method for '"widenet"' Objects
print.widenet: Print Method for widenet Objects
summary.widenet: Generate and print summaries of class '"widenet"' objects.
widenet: Extends the relaxnet Package with Polynomial Basis Expansions
See all...

All man pages Function index File listing

Man pages

predict.widenet: Predict Method for '"widenet"' Objects
print.widenet: Print Method for widenet Objects
summary.widenet: Generate and print summaries of class '"widenet"' objects.
widenet: Extends the relaxnet Package with Polynomial Basis Expansions

Functions

Files

src
src/expandBasis.c
NAMESPACE
R
R/screen.R
R/checkBinary.R
R/summary.widenet.R
R/expandBasis.R
R/widenet.cv.funs.R
R/predict.widenet.R
R/zzz.R
R/widenet.R
MD5
DESCRIPTION
man
man/print.widenet.Rd
man/summary.widenet.Rd
man/predict.widenet.Rd
man/widenet.Rd
widenet documentation built on May 20, 2017, 2:57 a.m.

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