l2boost: l2boost - Friedman's boosting algorithm for regularized linear regression
Version 1.0

Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.

AuthorJohn Ehrlinger [aut, cre], Hemant Ishwaran [aut]
Date of publication2013-06-03 23:15:58
MaintainerJohn Ehrlinger <john.ehrlinger@gmail.com>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("l2boost")

Getting started

Package overview
README.md

Popular man pages

coef.l2boost: Extract model coefficients from an l2boost model object at...
cv.l2boost: K-fold cross-validation using 'l2boost'.
elasticNetSim: A blocked correlated data simulation.
l2boost: Generic gradient descent boosting method for linear...
l2boost-package: Efficient implementation of Friedman's boosting algorithm for...
mvnorm.l2boost: multivariate normal data simulations.
plot.l2boost: Plotting for 'l2boost' objects.
See all...

All man pages Function index File listing

Man pages

coef.l2boost: Extract model coefficients from an l2boost model object at...
cv.l2boost: K-fold cross-validation using 'l2boost'.
diabetes: Blood and other measurements in diabetics [Hastie and Efron...
elasticNetSim: A blocked correlated data simulation.
fitted.l2boost: Extract the fitted model estimates along the solution path...
l2boost: Generic gradient descent boosting method for linear...
l2boost-package: Efficient implementation of Friedman's boosting algorithm for...
mvnorm.l2boost: multivariate normal data simulations.
plot.l2boost: Plotting for 'l2boost' objects.
predict.l2boost: predict method for l2boost models.
print.l2boost: print method for 'l2boost' and 'cv.l2boost' objects.
residuals.l2boost: Model residuals for the training set of an l2boost model...

Functions

VAR Source code
break.ties Source code
coef.l2boost Man page Source code
cv.l2boost Man page Source code
diabetes Man page
elasticNetSim Man page Source code
error.bars Source code
eval.fold Source code
extract.corr Source code
fitted.l2boost Man page Source code
get.discrete.solution Source code
get.hybrid.solution Source code
get.lars.solution Source code
l2boost Man page Source code
l2boost-package Man page
l2boost.default Man page Source code
l2boost.formula Man page Source code
mstep.long Source code
mvnorm.l2boost Man page Source code
nu.limit Source code
plot.l2boost Man page Source code
plot.lines Source code
predict.l2boost Man page Source code
print.l2boost Man page Source code
print.summary.l2boost Source code
resample Source code
residuals.l2boost Man page Source code
summary.l2boost Source code
which.max.ind Source code
which.min.ind Source code

Files

MD5
man
man/residuals.l2boost.Rd
man/print.l2boost.Rd
man/predict.l2boost.Rd
man/plot.l2boost.Rd
man/mvnorm.l2boost.Rd
man/l2boost.Rd
man/l2boost-package.Rd
man/fitted.l2boost.Rd
man/elasticNetSim.Rd
man/diabetes.Rd
man/cv.l2boost.Rd
man/coef.l2boost.Rd
inst
inst/CITATION
data
data/diabetes.rda
README.md
R
R/which.min.ind.R
R/which.max.ind.R
R/summary.l2boost.R
R/residuals.l2boost.R
R/resample.R
R/print.summary.l2boost.R
R/print.l2boost.R
R/predict.l2boost.R
R/plot.lines.R
R/plot.l2boost.R
R/nu.limit.R
R/mvnorm.l2boost.R
R/mstep.long.R
R/l2boost.R
R/help.R
R/get.lars.solution.R
R/get.hybrid.solution.R
R/get.discrete.solution.R
R/fitted.l2boost.R
R/extract.corr.R
R/eval.fold.R
R/error.bars.R
R/elasticNetSim.R
R/diabetes.R
R/cv.l2boost.R
R/coef.l2boost.R
R/break.ties.R
R/VAR.R
NAMESPACE
DESCRIPTION
l2boost documentation built on May 19, 2017, 4:31 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.