Package index
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basehaz.gbm() - Baseline hazard function
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calibrate.plot() - Calibration plot
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guessDist()getCVgroup()getStratify()checkMissing()checkWeights()checkID()checkOffset()getVarNames()gbmCluster() - gbm internal functions
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gbm-package - Generalized Boosted Regression Models (GBMs)
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gbm() - Generalized Boosted Regression Modeling (GBM)
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gbm.fit() - Generalized Boosted Regression Modeling (GBM)
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gbm.more() - Generalized Boosted Regression Modeling (GBM)
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gbm.object - Generalized Boosted Regression Model Object
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gbm.perf() - GBM performance
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gbm.roc.area()gbm.conc()ir.measure.conc()ir.measure.auc()ir.measure.mrr()ir.measure.map()ir.measure.ndcg()perf.pairwise() - Compute Information Retrieval measures.
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gbmCrossVal()gbmCrossValErr()gbmCrossValPredictions()gbmCrossValModelBuild()gbmDoFold() - Cross-validate a gbm
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interact.gbm() - Estimate the strength of interaction effects
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plot(<gbm>) - Marginal plots of fitted gbm objects
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predict(<gbm>) - Predict method for GBM Model Fits
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pretty(<gbm.tree>) - Print gbm tree components
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print(<gbm>)show.gbm() - Print model summary
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quantile(<rug>) - Quantile rug plot
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reconstructGBMdata() - Reconstruct a GBM's Source Data
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relative.influence()permutation.test.gbm()gbm.loss() - Methods for estimating relative influence
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summary(<gbm>) - Summary of a gbm object
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test.gbm() - Test the
gbmpackage.