JMLR Journal 2010 Journal Article
Model-based Boosting 2.0
- Torsten Hothorn
- Peter Bühlmann
- Thomas Kneib
- Matthias Schmid
- Benjamin Hofner
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 ] © JMLR 2010. ( edit, beta )