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An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, tdistribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway.
Package details 


Author  Brandon Greenwell [aut, cre] (<https://orcid.org/0000000281200084>), Bradley Boehmke [aut] (<https://orcid.org/0000000236118516>), Jay Cunningham [aut], GBM Developers [aut] (https://github.com/gbmdevelopers) 
Maintainer  Brandon Greenwell <greenwell.brandon@gmail.com> 
License  GPL (>= 2)  file LICENSE 
Version  2.1.8 
URL  https://github.com/gbmdevelopers/gbm 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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