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Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=mboost).

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mboost

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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:

Issues & Feature Requests

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

Installation Instructions

  • Current version (from CRAN):

    install.packages("mboost")
  • Latest patch version (patched version of CRAN package; under development) from GitHub:

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

    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:

    install.packages("devtools")

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Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=mboost).

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