mboost (2.0-3)
Model-Based Boosting.
http://cran.r-project.org/web/packages/mboost
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.
Maintainer:
Torsten Hothorn
Author(s): Torsten Hothorn, Peter Buehlmann, Thomas Kneib, Matthias Schmid and Benjamin Hofner
License: GPL-2
Uses: lattice, Matrix, survival, ipred, party, multicore, MASS
Reverse depends: bujar, expectreg, gamboostLSS, globalboosttest, stratasphere
Reverse suggests: caret, Daim, HSAUR2, multcomp, spikeSlabGAM
Released about 3 years ago.
