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.


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Reference manual

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install.packages("FDboost")

0.3-0 by Sarah Brockhaus, 4 months ago


https://github.com/boost-R/FDboost


Report a bug at https://github.com/boost-R/FDboost/issues


Browse source code at https://github.com/cran/FDboost


Authors: Sarah Brockhaus [aut, cre], David Ruegamer [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 graphics, grDevices, utils, stats, Matrix, gamboostLSS, stabs, mgcv, MASS, zoo

Depends on methods, mboost

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


See at CRAN