1 Curriculum Vitae - Georg-August-Universität Göttingen

5 Software 29(LMU Munich), Benjamin Hofner and Matthias Schmid (Friedrich-Alexander-UniversitätErlangen-Nürnberg), generic Boosting algorithms for structured additive regression modelshave been developed based on penalised least squares baselearners. As a consequence,a similar class of models can be treated as with BayesXAn up-to-date development version is available from http://r-forge.r-project.org/,the current official release is available from the comprehensive R archive network (http://cran.r-projAdditional R-packagesIn addition to the software projects described so far, I am involved in the development ofa number of further R-packages. These are only partially available from CRAN.• BayesX: This package provides funtionality for visualising estimation results obtainedwith BayesX and for manipulating geographical information.• cAIC: As a supplement to Greven & Kneib (2009): On the Behavior of Marginaland Conditional Akaike Information Criteria in Linear Mixed Models, this packageimplements the corrected conditional AIC for linear mixed models.• ConfBands: This package provides different types of simultaneous confidence bandsfor semiparametric regression models and is a supplement to Krivobokova, Kneib &Claeskens (2009): Simultaneous Confidence Bands for Penalized Spline Estimators.• expectreg: This package collects functionality for estimating semiparametric expectileregression models. It is developed as a part of Fabian Sobotka‘s PhD thesis.