Description:

Model-Based Boosting: Functional gradient descent algorithms (boosting) for optimizing general loss functions utilizing componentwise least squares, either of parametric linear form or smoothing splines, or regression trees as base learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.

Changes to previous version:

Fetched by r-cran-robot on 2009-03-27 07:16:03.214119

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: None

Tags: R-Cran

Archive: download here

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