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mboost implements boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.

Using mboost

For installation instructions see below.

Instructions on how to use mboost can be found in various places: - Have a look at the tutorials: - mboost tutorial - mboost 2.0 - Visit the project homepage and see further tutorials and references there.

Issues & Feature Requests

For issues, bugs, feature requests etc. please use the GitHub Issues.

Installation Instructions

To be able to use the install_github() command, one needs to install devtools first: r install.packages("devtools")

hofnerb/mboost documentation built on Feb. 23, 2020, 2:09 p.m.