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mboost (version 0.4-6)

Gradient Boosting for Fitting Generalized Linear, Additive and Interaction Models

Description

Functional gradient descent algorithms for optimizing arbitrary loss functions utilizing componentwise least squares, either linear models or smoothing splines, and regression trees as base learners.

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Install

install.packages('mboost')

Monthly Downloads

4,412

Version

0.4-6

License

GPL

Maintainer

Last Published

June 13th, 2006

Functions in mboost (0.4-6)