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mboost

Model-Based Boosting
Torsten Hothorn [aut, cre], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut], Fabian Sobotka [ctb], Fabian Scheipl [ctb]
GPL-2
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.
Versions
Package Version Released
mboost 2.2-3 1 year 10 weeks ago
mboost 2.2-2 1 year 40 weeks ago
mboost 2.2-1 1 year 44 weeks ago
mboost 2.2-0 1 year 51 weeks ago
mboost 2.1-3 2 years 7 weeks ago
mboost 2.1-2 2 years 38 weeks ago
mboost 2.1-1 2 years 51 weeks ago
mboost 2.1-0 3 years 1 week ago
mboost 2.0-9 4 years 3 days ago
mboost 2.0-8 4 years 1 week ago
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