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l2boost  

Exploring Friedman's Boosting Algorithm for Regularized Linear Regression
View on CRAN: Click here


Download and install l2boost package within the R console
Install from CRAN:
install.packages("l2boost")

Install from Github:
library("remotes")
install_github("cran/l2boost")

Install by package version:
library("remotes")
install_version("l2boost", "1.0.3")



Attach the package and use:
library("l2boost")
Maintained by
John Ehrlinger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-06-03
Latest Update: 2022-02-11
Description:
Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.
How to cite:
John Ehrlinger (2013). l2boost: Exploring Friedman's Boosting Algorithm for Regularized Linear Regression. R package version 1.0.3, https://cran.r-project.org/web/packages/l2boost. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.1 (2017-11-02 14:07), 1.0 (2013-06-03 23:16)
Other packages that cited l2boost R package
View l2boost citation profile
Other R packages that l2boost depends, imports, suggests or enhances
Complete documentation for l2boost
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