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gbm3: Generalized Boosted Models

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 at the gbm-dev Google Group.

gbm3 provides generalized boosted regression models with a newer API than the original gbm package. The package supports regression, classification, survival models, and learning-to-rank methods, with optional OpenMP parallelization in the core fitting code.

To install the development version from GitHub, first install remotes:

install.packages("remotes")

Then install gbm3:

remotes::install_github("gbm-developers/gbm3")

# or to build vignettes during installation
remotes::install_github("gbm-developers/gbm3", build_vignettes = TRUE, force = TRUE)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.