Boosting Functional Regression Models R package FDboost version 1.1-4 CRAN Task View: FunctionalData (https://CRAN.R-project.org/view=FunctionalData) 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>. Software Depends: mboost (>= 2.9-0), R (>= 3.5.0) Imports: gamboostLSS (>= 2.0-0), graphics, grDevices, MASS, Matrix, methods, mgcv, stabs, stats, utils, zoo Suggests: fda, fields, ggplot2, knitr, mapdata, maps, refund, testthat David Ruegamer <david.ruegamer@gmail.com> Comprehensive R Archive Network (CRAN) Sarah Brockhaus [aut] (ORCID: <https://orcid.org/0000-0001-9484-7488>), David Ruegamer [aut, cre] (ORCID: <https://orcid.org/0000-0002-8772-9202>), Almond Stoecker [aut] (ORCID: <https://orcid.org/0000-0001-9160-2397>), Torsten Hothorn [ctb] (ORCID: <https://orcid.org/0000-0001-8301-0471>), with contributions by many others (see inst/CONTRIBUTIONS) [ctb] GPL-2 2026-03-24 application/tgz https://CRAN.R-project.org/package=FDboost doi:10.32614/CRAN.package.FDboost