mboost: Model-Based Boosting
Version 2.8-1

Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.

Package details

AuthorTorsten Hothorn [aut], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre], Fabian Sobotka [ctb], Fabian Scheipl [ctb], Andreas Mayr [ctb]
Date of publication2017-07-23 17:34:31 UTC
MaintainerBenjamin Hofner <benjamin.hofner@pei.de>
URL https://github.com/boost-R/mboost
Package repositoryView on CRAN
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mboost documentation built on July 24, 2017, 1:03 a.m.