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