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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):

  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")