Generalized Boosted Regression Models
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Documentation for package ‘gbm’ version 2.1.9
- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.
Help Pages
| gbm-package | Generalized Boosted Regression Models (GBMs) |
| basehaz.gbm | Baseline hazard function |
| calibrate.plot | Calibration plot |
| checkID | gbm internal functions |
| checkMissing | gbm internal functions |
| checkOffset | gbm internal functions |
| checkWeights | gbm internal functions |
| gbm | Generalized Boosted Regression Modeling (GBM) |
| gbm.conc | Compute Information Retrieval measures. |
| gbm.fit | Generalized Boosted Regression Modeling (GBM) |
| gbm.loss | Methods for estimating relative influence |
| gbm.more | Generalized Boosted Regression Modeling (GBM) |
| gbm.object | Generalized Boosted Regression Model Object |
| gbm.perf | GBM performance |
| gbm.roc.area | Compute Information Retrieval measures. |
| gbmCluster | gbm internal functions |
| gbmCrossVal | Cross-validate a gbm |
| gbmCrossValErr | Cross-validate a gbm |
| gbmCrossValModelBuild | Cross-validate a gbm |
| gbmCrossValPredictions | Cross-validate a gbm |
| gbmDoFold | Cross-validate a gbm |
| getCVgroup | gbm internal functions |
| getStratify | gbm internal functions |
| getVarNames | gbm internal functions |
| guessDist | gbm internal functions |
| 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 |
| 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. |