1 packages on CRAN
1 packages on GitHub
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, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART).
Provides functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights.