gbm: Generalized Boosted Regression Models

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).

Install the latest version of this package by entering the following in R:
install.packages("gbm")
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
http://code.google.com/p/gradientboostedmodels/

View on CRAN

Functions

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

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

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All documentation is copyright its authors; we didn't write any of that.