gbm

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.

Author Greg Ridgeway
Maintainer Greg Ridgeway

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("gbm")

Vignettes (Documentation)

Package Downloads

gbm.pdf
oobperf2.pdf
shrinkage-v-iterations.pdf
Source gbm_1.6-0.tar.gz
Windows binary gbm_1.6-0.zip
OS X binary gbm_1.6-0.tgz

Details

biocViews
Depends R, survival, lattice, mgcv
Suggests
Imports
SystemRequirements
License GPL (version 2 or newer)
URL http://www.i-pensieri.com/gregr/gbm.shtml
dependsOnMe
suggestsMe