mboost: Model-Based Boosting
Version 2.9-0

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] (<https://orcid.org/0000-0001-8301-0471>), Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre] (<https://orcid.org/0000-0003-2810-3186>), Fabian Sobotka [ctb], Fabian Scheipl [ctb], Andreas Mayr [ctb]
Date of publication2018-06-13 22:12:56 UTC
MaintainerBenjamin Hofner <benja[email protected]>
URL https://github.com/boost-R/mboost
Package repositoryView on CRAN
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mboost documentation built on June 14, 2018, 1:03 a.m.