Learn R Programming
⚠️There's a newer version (2.2.3) of this package.Take me there.

gbm (version 0.7-1)

Generalized Boosted Regression Models

Description

This package implements extensions to Freund and Schapire's AdaBoost algorithm and J. Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, logistic, Poisson, Cox proportional hazards partial likelihood, and AdaBoost exponential loss.

Copy Link

Version

Install

install.packages('gbm')

Monthly Downloads

27,905

Version

0.7-1

License

GPL (version 2 or newer)

Maintainer

Greg Ridgeway

Last Published

January 22nd, 2026

Functions in gbm (0.7-1)

predict.gbm

Predict method for GBM Model Fits
gbm.object

Generalized Boosted Regression Model Object
gbm.perf

GBM performance
gbm

Generalized Boosted Regression Modeling
calibrate.plot

Calibration plot
summary.gbm

Summary of a gbm object
plot.gbm

Marginal plots of fitted gbm objects
pretty.gbm.tree

Print gbm tree components
quantile.rug

Quantile rug plot