To cite the package 'mboost' itself use:

T. Hothorn, P. Buehlmann, T. Kneib, M. Schmid, and B. Hofner (2017). mboost: Model-Based Boosting, R package version 2.8-1, https://CRAN.R-project.org/package=mboost.

A comprehensive tutorial is given in:

Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov, Matthias Schmid (2014). Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost. Computational Statistics, 29, 3-35.

An overview of the implementation is given in:

Torsten Hothorn, Peter Buehlmann, Thomas Kneib, Matthias Schmid and Benjamin Hofner (2010). Model-based Boosting 2.0. Journal of Machine Learning Research, 11, 2109-2113.

The theory and the package (until version 2.0) are described in:

Peter Buehlmann and Torsten Hothorn (2007). Boosting Algorithms: Regularization, Prediction and Model Fitting (with Discussion). Statistical Science, 22(4), 477-505.

Details of stability selection in the context of boosting are described in:

Benjamin Hofner, Luigi Boccuto and Markus Goeker (2015). Controlling false discoveries in high-dimensional situations: Boosting with stability selection. BMC Bioinformatics, 16:144.

Use ‘toBibtex(citation("mboost"))’ to extract BibTeX references.

Corresponding BibTeX entries:

  @Manual{,
    title = {{mboost}: Model-Based Boosting},
    author = {Torsten Hothorn and Peter Buehlmann and Thomas Kneib and
      Matthias Schmid and Benjamin Hofner},
    year = {2017},
    note = {{R} package version 2.8-1},
    url = {https://CRAN.R-project.org/package=mboost},
  }
  @Article{,
    title = {Model-based Boosting in {R}: A Hands-on Tutorial Using the
      {R} Package mboost},
    author = {Benjamin Hofner and Andreas Mayr and Nikolay Robinzonov
      and Matthias Schmid},
    journal = {Computational Statistics},
    year = {2014},
    volume = {29},
    pages = {3--35},
  }
  @Article{,
    title = {Model-based Boosting 2.0},
    author = {Torsten Hothorn and Peter Buehlmann and Thomas Kneib and
      Matthias Schmid and Benjamin Hofner},
    journal = {Journal of Machine Learning Research},
    year = {2010},
    volume = {11},
    pages = {2109--2113},
  }
  @Article{,
    title = {Boosting Algorithms: Regularization, Prediction and Model
      Fitting (with Discussion)},
    author = {Peter Buehlmann and Torsten Hothorn},
    journal = {Statistical Science},
    year = {2007},
    volume = {22},
    number = {4},
    pages = {477--505},
  }
  @Article{,
    title = {Controlling false discoveries in high-dimensional
      situations: Boosting with stability selection},
    author = {Benjamin Hofner and Luigi Boccuto and Markus Goeker},
    journal = {{BMC} Bioinformatics},
    year = {2015},
    volume = {16},
    number = {144},
  }