Generalized Boosted Regression Models

available_distributions | Available Distributions |

baseline_hazard | Baseline hazard function |

calibrate_plot | Calibration plot |

create_dist | Create distributions |

distribution_name | What is the distribution name used here? |

gbm | Generalized Boosted Regression Modeling |

gbm_dist | GBM Distribution |

gbm_more | Perform additional boosting |

gbm_object | Generalized Boosted Regression Model Object |

gbm-package | Generalized Boosted Regression Models |

gbmParallel | Control parallelization options |

gbm.perf | GBMT Performance |

gbm_roc_area | Compute Information Retrieval measures. |

gbmt | GBMT |

gbmt_fit | GBMT fit |

gbmt_performance | Get performance details for gbm fit |

interact | Estimate the strength of interaction effects |

iteration_error | Extract errors from GBMFit objects |

perf_pairwise | Performance for pairwise |

permutation_relative_influence | Relative influence via permutation |

plot.GBMFit | Marginal plots of fitted gbm objects |

plot.GBMTPerformance | Plot GBM performance details |

predict.GBMCVFit | Predictions for CV fitted GBM models |

predict.GBMFit | Predict method for GBM Model Fits |

pretty_gbm_tree | Print gbm tree components |

print.GBMFit | Print model summary |

quantile_rug | Quantile rug plot |

relative_influence | Methods for estimating relative influence |

summary.GBMFit | Summary of a GBMFit object |

to_old_gbm | Convert GBMFit to previous gbm object |

training_params | Training parameters |

trees | Extract trees from GBMFit objects |

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