R: Generalized Boosted Regression Models

# Generalized Boosted Regression Models

## Documentation for package ‘gbm’ version 2.0-8

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

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.