FDboost: 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) <doi:10.18637/jss.v094.i10>.

Package details

AuthorSarah Brockhaus [aut], David Ruegamer [aut, cre], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
MaintainerDavid Ruegamer <david.ruegamer@gmail.com>
LicenseGPL-2
Version1.1-2
URL https://github.com/boost-R/FDboost
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FDboost")

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FDboost documentation built on Aug. 12, 2023, 5:13 p.m.