r-cran-gbm 2.1.8-1 (arm64 binary) in ubuntu groovy

 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).