Generalized Boosted Regression Models


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Documentation for package ‘gbm’ version 2.0-8

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gbm-package Generalized Boosted Regression Models
basehaz.gbm Baseline hazard function
calibrate.plot Calibration plot
gbm Generalized Boosted Regression Modeling
gbm.conc Compute Information Retrieval measures.
gbm.fit Generalized Boosted Regression Modeling
gbm.loss Methods for estimating relative influence
gbm.more Generalized Boosted Regression Modeling
gbm.object Generalized Boosted Regression Model Object
gbm.perf GBM performance
gbm.roc.area Compute Information Retrieval measures.
interact.gbm Estimate the strength of interaction effects
ir.measure.auc Compute Information Retrieval measures.
ir.measure.conc Compute Information Retrieval measures.
ir.measure.map Compute Information Retrieval measures.
ir.measure.mrr Compute Information Retrieval measures.
ir.measure.ndcg Compute Information Retrieval measures.
perf.pairwise Compute Information Retrieval measures.
permutation.test.gbm Methods for estimating relative influence
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 Print model summary
quantile.rug Quantile rug plot
reconstructGBMdata Reconstruct a GBM's Source Data
relative.influence Methods for estimating relative influence
show.gbm Print model summary
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.
test.relative.influence Test the 'gbm' package.
validate.gbm Test the 'gbm' package.