mboost: Model-Based Boosting
Version 2.5-1

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.

Getting started

Package details

AuthorTorsten Hothorn [aut], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre], Fabian Sobotka [ctb], Fabian Scheipl [ctb]
Date of publication2018-01-16 13:41:55
MaintainerBenjamin Hofner <[email protected]>
URL http://mboost.r-forge.r-project.org/ https://github.com/hofnerb/mboost
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("mboost", repos="http://R-Forge.R-project.org")

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mboost documentation built on Jan. 20, 2018, 4:16 p.m.