Function reference • gbm

All functions
`basehaz.gbm()`	Baseline hazard function
`calibrate.plot()`	Calibration plot
`guessDist()` `getCVgroup()` `getStratify()` `checkMissing()` `checkWeights()` `checkID()` `checkOffset()` `getVarNames()` `gbmCluster()`	gbm internal functions
`gbm-package`	Generalized Boosted Regression Models (GBMs)
`gbm()`	Generalized Boosted Regression Modeling (GBM)
`gbm.fit()`	Generalized Boosted Regression Modeling (GBM)
`gbm.more()`	Generalized Boosted Regression Modeling (GBM)
`gbm.object`	Generalized Boosted Regression Model Object
`gbm.perf()`	GBM performance
`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.
`gbmCrossVal()` `gbmCrossValErr()` `gbmCrossValPredictions()` `gbmCrossValModelBuild()` `gbmDoFold()`	Cross-validate a gbm
`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>)` `show.gbm()`	Print model summary
`quantile(<rug>)`	Quantile rug plot
`reconstructGBMdata()`	Reconstruct a GBM's Source Data
`relative.influence()` `permutation.test.gbm()` `gbm.loss()`	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
`test.gbm()`	Test the `gbm` package.

Reference