To cite package 'FDboost' itself use the manual (Brockhaus and Ruegamer 2017) and the tutorial (Brockhaus et al. 2017a); to cite functional linear array models use Brockhaus et al. (2015); to cite models with historical effects use Brockhaus et al. (2017b); to cite models with factor-specific historical effects use Ruegamer (2016).

Brockhaus, S. and Ruegamer, D. (2017), FDboost: Boosting Functional Regression Models, R package version 0.3-0

Brockhaus, S., Ruegamer, D., and Greven, S. (2017a), Boosting Functional Regression Models with FDboost, ArXiv e-prints 1705.10662.

Brockhaus, S., Scheipl, F., Hothorn, T., and Greven, S. (2015), The Functional Linear Array Model. Statistical Modelling, 15(3), 279-300.

Brockhaus, S., Melcher, M., Leisch, F., and Greven, S. (2017b), Boosting flexible functional regression models with a high number of functional historical effects. Statistics and Computing, 27(4), 913-926.

Ruegamer, D., Brockhaus, S., Gentsch, K., Scherer, K., and Greven, S. (2016), Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals, ArXiv e-prints 1609.06070.

Corresponding BibTeX entries:

  @Manual{,
    title = {FDboost: Boosting Functional Regression Models},
    author = {Sarah Brockhaus and David Ruegamer},
    year = {2017},
  }
  @Article{,
    title = {Boosting Functional Regression Models with FDboost},
    author = {Sarah Brockhaus and David Ruegamer and Sonja Greven},
    journal = {ArXiv e-prints},
    year = {2017},
    eprint = {1705.10662},
    month = {may},
  }
  @Article{,
    title = {The Functional Linear Array Model},
    author = {Sarah Brockhaus and Fabian Scheipl and Torsten Hothorn
      and Sonja Greven},
    journal = {Statistical Modelling},
    year = {2015},
    volume = {15},
    number = {3},
    pages = {279--300},
  }
  @Article{,
    author = {{Brockhaus} and {Sarah} and {Melcher} and {Michael} and
      {Leisch} and {Friedrich} and {Greven} and {Sonja}},
    title = {Boosting flexible functional regression models with a high
      number of functional historical effects},
    journal = {Statistics and Computing},
    year = {2017},
    volume = {27},
    number = {4},
    pages = {913--926},
  }
  @Article{,
    author = {{Ruegamer} and {David} and {Brockhaus} and {Sarah} and
      {Gentsch} and {Kornelia} and {Scherer} and {Klaus} and {Greven}
      and {Sonja}},
    title = {Boosting Factor-Specific Functional Historical Models for
      the Detection of Synchronisation in Bioelectrical Signals},
    journal = {ArXiv e-prints},
    eprint = {1609.06070},
    year = {2016},
    month = {sep},
  }