Generalized Boosted Regression Models R package gbm3 version 3.0.2 Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART). Software Depends: R (>= 3.5.0) Imports: survival, lattice, splines, Rcpp (>= 1.0.0) LinkingTo: Rcpp Suggests: testthat (>= 3.1.0), knitr, rmarkdown, MASS Greg Ridgeway <gridge@upenn.edu> Comprehensive R Archive Network (CRAN) James Hickey [aut], Paul Metcalfe [aut], Greg Ridgeway [aut, cre], Stefan Schroedl [aut], Harry Southworth [aut], Terry Therneau [aut] GPL (>= 2) 2026-07-13 application/tgz https://CRAN.R-project.org/package=gbm3 doi:10.32614/CRAN.package.gbm3