To cite package 'gamboostLSS' in publications use:
Hofner B, Mayr A, Fenske N, Schmid M (2023). gamboostLSS: Boosting Methods for GAMLSS Models. R package version 2.0-7, https://CRAN.R-project.org/package=gamboostLSS.
To cite the package and the tutorial in publications use:
Hofner B, Mayr A, Schmid M (2016). “gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework.” Journal of Statistical Software, 74(1), 1–31. doi:10.18637/jss.v074.i01.
To cite the theory of 'gamboostLSS' use:
Mayr A, Fenske N, Hofner B, Kneib T, Schmid M (2012). “Generalized additive models for location, scale and shape for high-dimensional data - a flexible approach based on boosting.” Journal of the Royal Statistical Society, Series C - Applied Statistics, 61(3), 403–427.
To cite the noncyclical fitting method of 'gamboostLSS' use:
Thomas J, Mayr A, Bischl B, Schmid M, Smith A, Hofner B (2018). “Gradient boosting for distributional regression - faster tuning and improved variable selection via noncyclical updates.” Statistics and Computing, 28(3), 673–687. doi:10.1007/s11222-017-9754-6.
Use ‘toBibtex(citation("gamboostLSS"))’ to extract BibTeX references.
Corresponding BibTeX entries:
@Manual{, title = {{gamboostLSS}: Boosting Methods for {GAMLSS} Models}, author = {Benjamin Hofner and Andreas Mayr and Nora Fenske and Matthias Schmid}, year = {2023}, note = {{R} package version 2.0-7}, url = {https://CRAN.R-project.org/package=gamboostLSS}, }
@Article{, title = {{gamboostLSS}: An {R} Package for Model Building and Variable Selection in the {GAMLSS} Framework}, author = {Benjamin Hofner and Andreas Mayr and Matthias Schmid}, journal = {Journal of Statistical Software}, year = {2016}, volume = {74}, number = {1}, pages = {1--31}, doi = {10.18637/jss.v074.i01}, }
@Article{, title = {Generalized additive models for location, scale and shape for high-dimensional data - a flexible approach based on boosting}, author = {Andreas Mayr and Nora Fenske and Benjamin Hofner and Thomas Kneib and Matthias Schmid}, journal = {Journal of the Royal Statistical Society, Series C - Applied Statistics}, year = {2012}, volume = {61}, number = {3}, pages = {403--427}, }
@Article{, title = {Gradient boosting for distributional regression - faster tuning and improved variable selection via noncyclical updates}, author = {Janek Thomas and Andreas Mayr and Bernd Bischl and Matthias Schmid and Adam Smith and Benjamin Hofner}, year = {2018}, journal = {{Statistics and Computing}}, volume = {28}, number = {3}, pages = {673--687}, doi = {10.1007/s11222-017-9754-6}, }