%0 Report %1 hofner_model-based_2012 %A Hofner, B. %A Mayr, A. %A Robinzonov, N. %A Schmid, M. %C Munich %D 2012 %K Boosting, R, Tutorial %N 120 %P 24 %T Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost %U http://epub.ub.uni-muenchen.de/12754/ %X We provide a detailed hands-on tutorial for the R add-on package mboost. The package implements boosting for optimizing general risk functions utilizing component-wise (penalized) least squares estimates as base-learners for ⬚tting various kinds of generalized linear and generalized additive models to potentially high-dimensional data. We give a theoretical background and demonstrate how mboost can be used to ⬚t interpretable models of di⬚erent complexity. As an example we use mboost to predict the body fat based on anthropometric measurements throughout the tutorial.

@techreport{hofner_model-based_2012, abstract = {We provide a detailed hands-on tutorial for the R add-on package mboost. The package implements boosting for optimizing general risk functions utilizing component-wise (penalized) least squares estimates as base-learners for ⬚tting various kinds of generalized linear and generalized additive models to potentially high-dimensional data. We give a theoretical background and demonstrate how mboost can be used to ⬚t interpretable models of di⬚erent complexity. As an example we use mboost to predict the body fat based on anthropometric measurements throughout the tutorial.}, added-at = {2017-01-09T13:57:26.000+0100}, address = {Munich}, author = {Hofner, B. and Mayr, A. and Robinzonov, N. and Schmid, M.}, biburl = {https://www.bibsonomy.org/bibtex/2fc7ff7db3c41a35c25b4943761c65e60/yourwelcome}, institution = {Department of Statistics, Ludwig-Maximilians-Universität}, interhash = {e9f6669c1a97b7511ad4aa5d037759f3}, intrahash = {fc7ff7db3c41a35c25b4943761c65e60}, keywords = {Boosting, R, Tutorial}, number = 120, pages = 24, shorttitle = {Model-based {Boosting} in {R}}, timestamp = {2017-01-09T14:01:11.000+0100}, title = {Model-based {Boosting} in {R}: {A} {Hands}-on {Tutorial} {Using} the {R} {Package} mboost}, type = {Technical {Report}}, url = {http://epub.ub.uni-muenchen.de/12754/}, urldate = {2012-08-24}, year = 2012 }