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README.Rmd
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---
output:
md_document:
variant: markdown_github
---
# 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)
[![Codecov test coverage](https://codecov.io/gh/gbm-developers/gbm/branch/master/graph/badge.svg)](https://codecov.io/gh/gbm-developers/gbm?branch=master)
[![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](https://cran.r-project.org/package=gbm) package, which stands for **g**eneralized **b**oosted **m**odels, provides 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, eval = FALSE}
# The easiest way to get gbm is to it install from CRAN:
install.packages("gbm")
# Alternatively, you can install the development version from GitHub:
if (!requireNamespace("remotes")) {
install.packages("remotes")
}
remotes::install_github("gbm-developers/gbm")
```
## Lifecycle
[![lifecycle](https://img.shields.io/badge/lifecycle-retired-orange.svg)](https://www.tidyverse.org/lifecycle/#retired)
The [gbm](https://cran.r-project.org/package=gbm) package is retired and no longer under active development. We will only make the necessary changes to ensure that [gbm](https://cran.r-project.org/package=gbm) remains 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](https://cran.r-project.org/package=gbm) back compatible to CRAN versions of [gbm](https://cran.r-project.org/package=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](https://cran.r-project.org/package=gbm). ~~For newer development, and a more consistent API, try out the [gbm3](https://github.com/gbm-developers/gbm3) package!~~