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). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
Version: 2.2.2 Depends: R (≥ 2.9.0) Imports: lattice, parallel, survival Suggests: covr, gridExtra, knitr, pdp, RUnit, splines, tinytest, vip, viridis Published: 2024-06-28 DOI: 10.32614/CRAN.package.gbm Author: Greg Ridgeway [aut, cre], Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb], Bradley Boehmke [ctb], Jay Cunningham [ctb], GBM Developers [aut] (https://github.com/gbm-developers) Maintainer: Greg Ridgeway <gridge at upenn.edu> BugReports: https://github.com/gbm-developers/gbm/issues License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] URL: https://github.com/gbm-developers/gbm NeedsCompilation: yes Materials: README NEWS In views: MachineLearning, Survival CRAN checks: gbm results Documentation: Downloads: Reverse dependencies: Reverse depends: gbm2sas, LogisticEnsembles, mma, NumericEnsembles Reverse imports: aihuman, ARTtransfer, autoMrP, biomod2, Bodi, bonsaiforest, branchpointer, bst, bujar, countSTAR, CoxAIPW, CRE, crispRdesignR, crossurr, cytofQC, DeepLearningCausal, ecospat, enmSdmX, EpiSemble, evalITR, EZtune, GB5mcPred, gbm.auto, gbts, i3pack, inTrees, lilikoi, MEGB, metaEnsembleR, MLInterfaces, mob, mvGPS, OpEnHiMR, paths, pomodoro, precmed, PSweight, qeML, ranktreeEnsemble, regressoR, rgnoisefilt, RSDA, scorecardModelUtils, SDMtune, spm, spm2, SSDM, traineR, tsensembler, twang, twangContinuous, twangMediation, visualpred, WaveletGBM, xgrove Reverse suggests: BiodiversityR, caretEnsemble, cdgd, ciu, CMA, cobalt, condvis2, cramR, creditmodel, DALEXtra, dismo, dynamicSDM, fairmodels, flowml, fscaret, imputeR, insight, MachineShop, MatchIt, mboost, mlr, mpae, nestedcv, npcs, opera, pdp, plotmo, pminternal, pmml, posterior, psborrow2, riskRegression, rSAFE, shapr, subsemble, SuperLearner, superMICE, survex, treeshap, triplot, vivid, WeightIt Reverse enhances: vip Linking:Please use the canonical form https://CRAN.R-project.org/package=gbm to link to this page.
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