gbm: Generalized Boosted Regression Models
Version 2.1.3

An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. 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 (LambdaMart).

Browse man pages Browse package API and functions Browse package files

AuthorGreg Ridgeway <gregridgeway@gmail.com> with contributions from others
Date of publication2017-03-21 06:48:03 UTC
MaintainerORPHANED
LicenseGPL (>= 2) | file LICENSE
Version2.1.3
URL http://code.google.com/p/gradientboostedmodels/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gbm")

Man pages

basehaz.gbm: Baseline hazard function
calibrate.plot: Calibration plot
gbm: Generalized Boosted Regression Modeling
gbmCrossVal: Cross-validate a gbm
gbm-internal: gbm internal functions
gbm.object: Generalized Boosted Regression Model Object
gbm-package: Generalized Boosted Regression Models
gbm.perf: GBM performance
gbm.roc.area: Compute Information Retrieval measures.
interact.gbm: Estimate the strength of interaction effects
plot.gbm: Marginal plots of fitted gbm objects
predict.gbm: Predict method for GBM Model Fits
pretty.gbm.tree: Print gbm tree components
print.gbm: Print model summary
quantile.rug: Quantile rug plot
reconstructGBMdata: Reconstruct a GBM's Source Data
relative.influence: Methods for estimating relative influence
shrink.gbm: L1 shrinkage of the predictor variables in a GBM
shrink.gbm.pred: Predictions from a shrunked GBM
summary.gbm: Summary of a gbm object
validate: Test the 'gbm' package.

Functions

basehaz.gbm Man page Source code
calibrate.plot Man page Source code
checkID Man page Source code
checkMissing Man page Source code
checkOffset Man page Source code
checkWeights Man page Source code
gbm Man page Source code
gbm-package Man page
gbm.conc Man page Source code
gbm.fit Man page Source code
gbm.loss Man page Source code
gbm.more Man page Source code
gbm.object Man page
gbm.perf Man page Source code
gbm.roc.area Man page Source code
gbmCluster Man page Source code
gbmCrossVal Man page Source code
gbmCrossValErr Man page Source code
gbmCrossValModelBuild Man page Source code
gbmCrossValPredictions Man page Source code
gbmDoFold Man page
getCVgroup Man page
getStratify Man page Source code
getVarNames Man page Source code
guessDist Man page Source code
interact.gbm Man page Source code
ir.measure.auc Man page Source code
ir.measure.conc Man page Source code
ir.measure.map Man page Source code
ir.measure.mrr Man page Source code
ir.measure.ndcg Man page Source code
onAttach Source code
perf.pairwise Man page Source code
permutation.test.gbm Man page Source code
plot.gbm Man page Source code
predict.gbm Man page Source code
pretty.gbm.tree Man page Source code
print.gbm Man page Source code
quantile.rug Man page Source code
reconstructGBMdata Man page Source code
relative.influence Man page Source code
show.gbm Man page
shrink.gbm Man page Source code
shrink.gbm.pred Man page Source code
summary.gbm Man page Source code
test.gbm Man page Source code
test.relative.influence Man page Source code
validate.gbm Man page Source code

Files

inst
inst/doc
inst/doc/oobperf2.eps
inst/doc/index.html
inst/doc/oobperf2.pdf
inst/doc/srcltx.sty
inst/doc/shrinkageplot.R
inst/doc/gbm.tex
inst/doc/gbm.Sweave
inst/doc/shrinkage-v-iterations.eps
inst/doc/gbm.pdf
inst/doc/shrinkage-v-iterations.pdf
src
src/locationm.h
src/locationm.cpp
src/gbm_engine.h
src/laplace.h
src/tree.cpp
src/gbm_engine.cpp
src/gaussian.h
src/pairwise.h
src/adaboost.h
src/pairwise.cpp
src/distribution.cpp
src/node_continuous.cpp
src/node.h
src/node_nonterminal.h
src/node_factory.cpp
src/node_search.cpp
src/node.cpp
src/bernoulli.cpp
src/quantile.cpp
src/huberized.h
src/node_search.h
src/bac
src/bac/gaussian.cpp
src/tree.h
src/poisson.cpp
src/multinomial.h
src/adaboost.cpp
src/node_categorical.h
src/node_factory.h
src/gbm.cpp
src/node_continuous.h
src/coxph.cpp
src/dataset.h
src/dataset.cpp
src/node_categorical.cpp
src/coxph.h
src/laplace.cpp
src/node_terminal.h
src/node_nonterminal.cpp
src/init.c
src/node_terminal.cpp
src/gbmentry.cpp
src/tdist.h
src/poisson.h
src/gbm.h
src/bernoulli.h
src/gaussian.cpp
src/huberized.cpp
src/multinomial.cpp
src/quantile.h
src/distribution.h
src/tdist.cpp
src/matrix.h
src/buildinfo.h
NAMESPACE
demo
demo/bernoulli.R
demo/gaussian.R
demo/pairwise.R
demo/robustReg.R
demo/multinomial.R
demo/printExamples.R
demo/OOB-reps.R
demo/00Index
demo/coxph.R
R
R/gbmDoFold.R
R/gbmCluster.R
R/gbm.perf.R
R/interact.gbm.R
R/getStratify.R
R/shrink.gbm.R
R/calibrate.plot.R
R/getCVgroup.R
R/gbm.loss.R
R/pretty.gbm.tree.R
R/test.gbm.R
R/print.gbm.R
R/plot.gbm.R
R/predict.gbm.R
R/gbm.R
R/permutation.test.gbm.R
R/gbm.fit.R
R/checks.R
R/basehaz.gbm.R
R/reconstructGBMdata.R
R/relative.influence.R
R/gbm.more.R
R/shrink.gbm.pred.R
R/ir.measures.R
R/gbmCrossVal.R
R/guessDist.R
MD5
DESCRIPTION
man
man/summary.gbm.Rd
man/predict.gbm.Rd
man/shrink.gbm.pred.Rd
man/shrink.gbm.Rd
man/plot.gbm.Rd
man/print.gbm.Rd
man/gbm.object.Rd
man/validate.Rd
man/gbmCrossVal.Rd
man/pretty.gbm.tree.Rd
man/relative.influence.Rd
man/gbm.perf.Rd
man/calibrate.plot.Rd
man/quantile.rug.Rd
man/reconstructGBMdata.Rd
man/gbm.roc.area.Rd
man/interact.gbm.Rd
man/gbm.Rd
man/gbm-internal.Rd
man/basehaz.gbm.Rd
man/gbm-package.Rd
.Rinstignore
LICENSE
CHANGES
gbm documentation built on May 20, 2017, 2:17 a.m.