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License GPL-2

By Torsten Hothorn, Peter Buehlmann, Thomas Kneib, Matthias Schmid and Benjamin Hofner


Description 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. Depends R (> = 2.9.0), methods, stat

Topics: Imports Matrix, survival, splines, lattice Suggests multicore, party (> = 0.9-9993, ipred, MASS LazyLoad yes LazyData yes
Year: 2010
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