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

Originally written by Greg Ridgeway, added to by various authors, currently maintained by Harry Southworth. 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, but is fast and parallel and --- to some extent --- 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

5

Version

2.2

License

GPL (>= 2) | file LICENSE

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Maintainer

Paul D. Metcalfe

Last Published

January 22nd, 2024

Functions in gbm3 (2.2)

trees

Extract trees from GBMFit objects
distribution_name

What is the distribution name used here?
gbm-package

Generalized Boosted Regression Models
interact

Estimate the strength of interaction effects
iteration_error

Extract errors from GBMFit objects
pretty_gbm_tree

Print gbm tree components
print.GBMFit

Print model summary
gbm_roc_area

Compute Information Retrieval measures.
gbmt

GBMT
plot.GBMFit

Marginal plots of fitted gbm objects
gbmParallel

Control parallelization options
gbm_dist

GBM Distribution
gbm.fit

Generalized Boosted Regression Modeling
plot.GBMTPerformance

Plot GBM performance details
training_params

Training parameters
gbmt_fit

GBMT fit
gbmt_performance

Get performance details for gbm fit
available_distributions

Available Distributions
baseline_hazard

Baseline hazard function
predict.GBMCVFit

Predictions for CV fitted GBM models
predict.GBMFit

Predict method for GBM Model Fits
gbm.perf

GBMT Performance
calibrate_plot

Calibration plot
create_dist

Create distributions
quantile_rug

Quantile rug plot
relative_influence

Methods for estimating relative influence
perf_pairwise

Performance for pairwise
permutation_relative_influence

Relative influence via permutation
summary.GBMFit

Summary of a GBMFit object
to_old_gbm

Convert GBMFit to previous gbm object
gbm_more

Perform additional boosting
gbm_object

Generalized Boosted Regression Model Object