About Anaconda Help Download Anaconda

r / packages / r-mboost 2.9_8

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. Models and algorithms are described in <doi:10.1214/07-STS242>, a hands-on tutorial is available from <doi:10.1007/s00180-012-0382-5>. The package allows user-specified loss functions and base-learners.

Installers

  • linux-64 v2.9_8

conda install

To install this package run one of the following:
conda install r::r-mboost

Description


© 2025 Anaconda, Inc. All Rights Reserved. (v4.0.7) Legal | Privacy Policy