Boosting Functional Regression Models

Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) .


Reference manual

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1.0-0 by David Ruegamer, a year ago

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Authors: Sarah Brockhaus [aut] , David Ruegamer [aut, cre] , Almond Stoecker [aut] , Torsten Hothorn [ctb] , with contributions by many others (see inst/CONTRIBUTIONS) [ctb]

Documentation:   PDF Manual  

Task views: Functional Data Analysis

GPL-2 license

Imports methods, graphics, grDevices, utils, stats, Matrix, gamboostLSS, stabs, mgcv, MASS, zoo

Depends on mboost

Suggests fda, fields, ggplot2, maps, mapdata, knitr, refund, testthat

Suggested by mlr.

See at CRAN