gbm: Generalized Boosted Regression Models (original) (raw)

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 ORCID iD [aut, cre], Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell ORCID iD [ctb], Bradley Boehmke ORCID iD [ctb], Jay Cunningham [ctb], GBM Developers [aut] (https://github.com/gbm-developers)
Maintainer: Greg Ridgeway
BugReports: https://github.com/gbm-developers/gbm/issues
License: GPL-2 | GPL-3 file [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, mma
Reverse imports: aihuman, ARTtransfer, autoMrP, biomod2, Bodi, bonsaiforest, branchpointer, bst, bujar, countSTAR, CoxAIPW, CRE, crispRdesignR, crossurr, cytofQC, DeepLearningCausal, ecospat, enmSdmX, EnsembleBase, EpiSemble, evalITR, EZtune, GB5mcPred, gbm.auto, gbts, inTrees, lilikoi, metaEnsembleR, MiDA, MLInterfaces, mob, mvGPS, OpEnHiMR, paths, pomodoro, precmed, PSweight, qeML, ranktreeEnsemble, regressoR, rgnoisefilt, RSDA, scorecardModelUtils, SDMtune, spm, spm2, SSDM, statVisual, traineR, tsensembler, twang, twangContinuous, twangMediation, visualpred, WaveletGBM, xgrove
Reverse suggests: BiodiversityR, caretEnsemble, cdgd, ciu, CMA, cobalt, condvis2, corrgrapher, creditmodel, cvwrapr, DALEXtra, dismo, dynamicSDM, fairmodels, flowml, fscaret, imputeR, insight, MachineShop, MatchIt, mboost, mlr, mpae, nestedcv, npcs, opera, pdp, plotmo, pmml, posterior, psborrow2, riskRegression, rSAFE, shapr, subsemble, SuperLearner, superMICE, survex, treeshap, triplot, vivid, WeightIt
Reverse enhances: vip

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