Man pages for gbm
Generalized Boosted Regression Models
| basehaz.gbm | Baseline hazard function |
| calibrate.plot | Calibration plot |
| gbm | Generalized Boosted Regression Modeling (GBM) |
| gbmCrossVal | Cross-validate a gbm |
| gbm.fit | Generalized Boosted Regression Modeling (GBM) |
| gbm-internals | gbm internal functions |
| gbm.more | Generalized Boosted Regression Modeling (GBM) |
| gbm.object | Generalized Boosted Regression Model Object |
| gbm-package | Generalized Boosted Regression Models (GBMs) |
| gbm.perf | GBM performance |
| gbm.roc.area | Compute Information Retrieval measures. |
| 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 | Print model summary |
| quantile.rug | Quantile rug plot |
| reconstructGBMdata | Reconstruct a GBM's Source Data |
| relative.influence | Methods for estimating relative influence |
| summary.gbm | Summary of a gbm object |
| test.gbm | Test the 'gbm' package. |
