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The R add-on package FDboost is a flexible toolbox for the estimation offunctional regression models by model-based boosting. It provides thepossibility to fit regression models for scalar and functional response witheffects of scalar as well as functional covariates, i.e., scalar-on-function,function-on-scalar and function-on-function regression models. In addition tomean regression, quantile regression models as well as generalized additivemodels for location scale and shape can be fitted with FDboost. Furthermore,boosting can be used in high-dimensional data settings with more covariatesthan observations. We provide a hands-on tutorial on model fitting and tuning,including the visualization of results. The methods for scalar-on-functionregression are illustrated with spectrometric data of fossil fuels and thosefor functional response regression with a data set including bioelectricalsignals for emotional episodes.

Boosting Functional Regression Models with FDboost