README.md

In boost-R/mboost: Model-Based Boosting

mboost

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

• Current version (from CRAN): r install.packages("mboost")

• Latest patch version (patched version of CRAN package; under development) from GitHub: r library("devtools") install_github("boost-R/mboost") library("mboost")

• Latest development version (version with new features; under development) from GitHub: r library("devtools") install_github("boost-R/mboost", ref = "devel") library("mboost")

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

boost-R/mboost documentation built on Jan. 3, 2024, 4:43 p.m.