License GPL-2

Description Distributed gradient boosting based on the mboost package. The parboost package is designed to scale up component-wise functional gradient boosting in a distributed memory environment by splitting the observations into disjoint subsets, or alternatively using bootstrap samples (bagging). Each cluster node then fits a boosting model to its subset of the data. These boosting models are combined in an ensem-ble,either with equal weights, or by fitting a (penalized) regression model on the predictions of the individual models on the complete data