Package index • gbm3

All functions

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.fit() gbm(): Generalized Boosted Regression Modeling
gbm.perf(): GBMT Performance
gbmParallel(): Control parallelization options
gbm_dist(): GBM Distribution
gbm_more(): Perform additional boosting
gbm_object: Generalized Boosted Regression Model Object
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