mboost (2.2-2)
Model-Based Boosting.
http://r-forge.r-project.org/projects/mboost/
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 [aut, cre], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut], Fabian Sobotka [ctb], Fabian Scheipl [ctb]
License: GPL-2
Uses: lattice, Matrix, survival, RColorBrewer, fields, gbm, ipred, mlbench, party, rpart, BayesX, MASS
Reverse depends: bujar, expectreg, gamboostLSS, globalboosttest, stratasphere
Reverse suggests: caret, Daim, HSAUR2, multcomp, spikeSlabGAM
Released 4 months ago.
20 previous versions
- mboost_2.2-1. Released 4 months ago.
- mboost_2.2-0. Released 6 months ago.
- mboost_2.1-3. Released 8 months ago.
- mboost_2.1-2. Released about 1 year ago.
- mboost_2.1-1. Released over 1 year ago.
- mboost_2.1-0. Released over 1 year ago.
- mboost_2.0-12. Released almost 2 years ago.
- mboost_2.0-11. Released about 2 years ago.
- mboost_2.0-10. Released over 2 years ago.
- mboost_2.0-9. Released over 2 years ago.
- mboost_2.0-8. Released over 2 years ago.
- mboost_2.0-7. Released over 2 years ago.
- mboost_2.0-6. Released about 3 years ago.
- mboost_2.0-3. Released about 3 years ago.
- mboost_2.0-0. Released over 3 years ago.
- mboost_1.1-4. Released over 3 years ago.
- mboost_1.1-3. Released over 3 years ago.
- mboost_1.1-2. Released almost 4 years ago.
- mboost_1.1-1. Released about 4 years ago.
- mboost_1.0-1. Released almost 6 years ago.
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