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.
|Author||Torsten 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 publication||2017-07-23 17:34:31 UTC|
|Maintainer||Benjamin Hofner <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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