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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>.

Version: 1.1-2
Depends: R (≥ 3.5.0), mboost (≥ 2.9-0)
Imports: methods, graphics, grDevices, utils, stats, Matrix, gamboostLSS (≥ 2.0-0), stabs, mgcv, MASS, zoo
Suggests: fda, fields, ggplot2, maps, mapdata, knitr, refund, testthat
Published: 2023-08-12
DOI: 10.32614/CRAN.package.FDboost
Author: Sarah Brockhaus [aut], David Ruegamer [aut, cre], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Maintainer: David Ruegamer <david.ruegamer at gmail.com>
BugReports: https://github.com/boost-R/FDboost/issues
License: GPL-2
URL: https://github.com/boost-R/FDboost
NeedsCompilation: no
Citation: FDboost citation info
Materials: NEWS
In views: FunctionalData
CRAN checks: FDboost results

Documentation:

Reference manual: FDboost.pdf
Vignettes: FDboost FLAM Canada
FDboost FLAM fuel
FDboost FLAM viscosity
FDboost density-on-scalar births

Downloads:

Package source: FDboost_1.1-2.tar.gz
Windows binaries: r-devel: FDboost_1.1-2.zip, r-release: FDboost_1.1-2.zip, r-oldrel: FDboost_1.1-2.zip
macOS binaries: r-release (arm64): FDboost_1.1-2.tgz, r-oldrel (arm64): FDboost_1.1-2.tgz, r-release (x86_64): FDboost_1.1-2.tgz, r-oldrel (x86_64): FDboost_1.1-2.tgz
Old sources: FDboost archive

Reverse dependencies:

Reverse suggests: mlr, runDRT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FDboost to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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