mloss.org r-cran-mboostUpdates and additions to r-cran-mboostenFri, 08 Feb 2013 00:00:00 -0000r-cran-mboost 2.2-2/software/view/105/<html><p>Model-Based Boosting: 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. </p></html>Torsten Hothorn [aut, cre], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut], Fabian Sobotka [ctb], Fabian Scheipl [ctb]Fri, 08 Feb 2013 00:00:00 -0000/software/rss/comments/105/software/view/105/r-cran