gbm v0.6

0

Monthly downloads

0th

Percentile

by Greg Ridgeway

Generalized Boosted Regression Models

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.

Functions in gbm

Name Description
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
No Results!

Last month downloads

Details

Date 2003-02-18
License GPL (version 2 or newer)
URL http://www.i-pensieri.com/gregr/gbm.shtml

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/gbm)](http://www.rdocumentation.org/packages/gbm)