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mboost (version 2.1-0)

Model-Based Boosting

Description

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.

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Install

install.packages('mboost')

Monthly Downloads

4,436

Version

2.1-0

License

GPL-2

Maintainer

Last Published

November 15th, 2011

Functions in mboost (2.1-0)