gbm
cranv2.2.3Generalized Boosted Regression Models. An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial like
License GPL (>= 2) | file LICENSE0 versions1 maintainers3 deps8,010 weekly dl
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curl https://depscope.dev/api/check/cran/gbmFirst published · 2026-01-22 17:58:00
Last updated · 2026-01-22T16:40:02+00:00