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Package: r-cran-gbm (2.1.8-1)

GNU R package providing Generalized Boosted Regression Models

This package implements 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 likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart).

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 546.3 kB754 kB [list of files]
arm64 540.6 kB738 kB [list of files]
armhf 533.7 kB693 kB [list of files]
ppc64el 557.3 kB806 kB [list of files]