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gbm3: generalized boosted models ----0------------------------

Originally written by Greg Ridgeway between 1999-2003, added to by various authors, extensively updated and polished by James Hickey in 2016, survival models greatly improved by Terry Therneau in 2016, and currently maintained by Greg Ridgeway. Development is discussed --- somewhat --- at https://groups.google.com/forum/#!forum/gbm-dev .

This is the shiny new gbm3 package that is not backwards compatible with R code calling the original gbm package, but is fast and parallel and developed.

Non-production releases (bug fixes, mostly) will be released via the GitHub release workflow. To install from GitHub, first install devtools from CRAN:

install.packages("devtools")

Then install gbm3 from GitHub:

library("devtools")
install_github("gbm-developers/gbm3")

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Version

Install

install.packages('gbm3')

Monthly Downloads

2

Version

3.0

License

GPL (>= 2)

Issues

Pull Requests

Stars

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Maintainer

Ridgeway Greg

Last Published

January 22nd, 2024

Functions in gbm3 (3.0)

create_dist

Create distributions
interact

Estimate the strength of interaction effects
gbmt_fit

GBMT fit
gbm_roc_area

Compute Information Retrieval measures.
gbmt

GBMT
gbmt_performance

Get performance details for gbm fit
iteration_error

Extract errors from GBMFit objects
perf_pairwise

Performance for pairwise
permutation_relative_influence

Relative influence via permutation
to_old_gbm

Convert GBMFit to previous gbm object
predict.GBMCVFit

Predictions for CV fitted GBM models
relative_influence

Methods for estimating relative influence
quantile_rug

Quantile rug plot
plot.GBMTPerformance

Plot GBM performance details
predict.GBMFit

Predict method for GBM Model Fits
trees

Extract trees from GBMFit objects
gbm_more

Perform additional boosting
training_params

Training parameters
pretty_gbm_tree

Print gbm tree components
plot.GBMFit

Marginal plots of fitted gbm objects
gbm_object

Generalized Boosted Regression Model Object
summary.GBMFit

Summary of a GBMFit object
print.GBMFit

Print model summary
gbmParallel

Control parallelization options
available_distributions

Available Distributions
gbm.perf

GBMT Performance
gbm_dist

GBM Distribution
distribution_name

What is the distribution name used here?
gbm-package

Generalized Boosted Regression Models
calibrate_plot

Calibration plot
gbm.fit

Generalized Boosted Regression Modeling
baseline_hazard

Baseline hazard function