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. |