To cite package 'FDboost' itself use the manual (Brockhaus and Ruegamer 2018) 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 (2018).
Brockhaus S, Ruegamer D (2018).FDboost: Boosting Functional Regression Models.
Brockhaus S, Scheipl F, Hothorn T, Greven S (2015).“The Functional Linear Array Model.”Statistical Modelling,15(3), 279–300.
Brockhaus S, Melcher M, Leisch F, Greven S (2017).“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, Greven S (2018).“Boosting factor-specific functional historical models for the detection of synchronization in bioelectrical signals.”Journal of the Royal Statistical Society: Series C (Applied Statistics),67, 621–642.1609.06070.
To cite FDboost in publications use:
Brockhaus S, Rügamer D, Greven S (2020).“Boosting Functional Regression Models with FDboost.”Journal of Statistical Software,94(10), 1–50.doi:10.18637/jss.v094.i10.
Corresponding BibTeX entries:
@Manual{, title = {FDboost: Boosting Functional Regression Models}, author = {Sarah Brockhaus and David Ruegamer}, year = {2018}, } @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 = {Sarah Brockhaus and Michael Melcher and Friedrich Leisch and Sonja Greven}, 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 = {David Ruegamer and Sarah Brockhaus and Kornelia Gentsch and Klaus Scherer and Sonja Greven}, title = {Boosting factor-specific functional historical models for the detection of synchronization in bioelectrical signals}, journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)}, eprint = {1609.06070}, year = {2018}, volume = {67}, pages = {621--642}, } @Article{, title = {Boosting Functional Regression Models with {FDboost}}, author = {Sarah Brockhaus and David R\"ugamer and Sonja Greven}, journal = {Journal of Statistical Software}, year = {2020}, volume = {94}, number = {10}, pages = {1--50}, doi = {10.18637/jss.v094.i10}, }