Model-based Boosting 2.0

We describe version 2.0 of the R add-on package mboost. The package implements boosting for optimizing general risk functions using component-wise (penalized) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. [abs] [ pdf ][ bib ] [ code ] &copy JMLR 2010. ( edit, beta )

Authors

• Torsten Hothorn
• Peter Bühlmann
• Thomas Kneib
• Matthias Schmid
• Benjamin Hofner

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