gbm
===

[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/gbm)](https://cran.r-project.org/package=gbm)
[![Build
Status](https://travis-ci.org/gbm-developers/gbm.svg?branch=master)](https://travis-ci.org/gbm-developers/gbm)
[![Downloads](http://cranlogs.r-pkg.org/badges/gbm)](http://cranlogs.r-pkg.org/badges/gbm)
[![Total
Downloads](http://cranlogs.r-pkg.org/badges/grand-total/gbm)](http://cranlogs.r-pkg.org/badges/grand-total/gbm)

Overview
--------

The gbm package (which stands for **g**eneralized **b**oosted
**m**odels) implements extensions to Freund and Schapire’s AdaBoost
algorithm and [Friedman’s gradient boosting
machine](http://projecteuclid.org/euclid.aos/1013203451). It includes
regression methods for least squares, absolute loss, t-distribution
loss, quantile regression, logistic, multinomial logistic, Poisson, Cox
proportional hazards partial likelihood, AdaBoost exponential loss,
Huberized hinge loss, and Learning to Rank measures (i.e.,
[LambdaMart](https://www.microsoft.com/en-us/research/publication/from-ranknet-to-lambdarank-to-lambdamart-an-overview/)).

Installation
------------

``` r
# The easiest way to get gbm is to it install from CRAN:
install.packages("gbm")

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("gbm-developers/gbm")
```

Lifecycle
---------

[![lifecycle](https://img.shields.io/badge/lifecycle-retired-orange.svg)](https://www.tidyverse.org/lifecycle/#retired)

The gbm package is retired and no longer under active development. We
will only make the necessary changes to ensure that gbm remain on CRAN.
For the most part, no new features will be added, and only the most
critical of bugs will be fixed.

This is a maintained version of `gbm` back compatible to CRAN versions
of `gbm` 2.1.x. It exists mainly for the purpose of reproducible
research and data analyses performed with the 2.1.x versions of `gbm`.
For newer development, and a more consistent API, try out the
[gbm3](https://github.com/gbm-developers/gbm3) package!