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gbm (version 0.6)

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.

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Version

Install

install.packages('gbm')

Monthly Downloads

20,860

Version

0.6

License

GPL (version 2 or newer)

Maintainer

Greg Ridgeway

Last Published

June 28th, 2024

Functions in gbm (0.6)

gbm.perf

GBM performance
calibrate.plot

Calibration plot
predict.gbm

Predict method for GBM Model Fits
gbm.object

Generalized Boosted Regression Model Object
gbm

Generalized Boosted Regression Modeling
quantile.rug

Quantile rug plot
plot.gbm

Marginal plots of fitted gbm objects
pretty.gbm.tree

Print gbm tree components
summary.gbm

Summary of a gbm object