Software
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- Hofner, B., Mayr, A., Fenske, N. and Schmid, M. (2016). gamboostLSS: Boosting Methods for GAMLSS models. R package version 1.5-0. Associated Tutorial: Hofner, B., Mayr, A., and 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.
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- Waldmann, E. and Mayr, A. (2016). JMboost: Boosting Joint Models for Longitudinal and Time-to-Event Outcomes. R package version 0.1-0. Associated Technical Report: Waldmann, E., Taylor-Robinson D., Klein, N., Kneib, T., Pressler, T., Schmid, M. and Mayr, A. (2016). Boosting Joint Models for Longitudinal and Time-to-Event Data. arXiv:1609.02686
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- Hothorn, T., Buehlmann, P., Kneib, T., Schmid, M., Hofner, B., ( Mayr, A. contributor, 2017). mboost: Model-Based Boosting. R package version 2.7-0. Associated Tutorial: Hofner, B., Mayr, A., Robinzonov N. and Schmid M. (2014): Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost. Computational Statistics 29: 3-35.
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- Mayr, A., Weinhold, L., Schmid, M. (2017). betaboost: Boosting Beta Regression. R package version 0.1-0.