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.

Version: 0.2-0
Depends: R (≥ 3.0.0), methods, mboost (≥ 2.6-0)
Imports: graphics, grDevices, utils, stats, Matrix, gamboostLSS (≥ 1.2-1), stabs, mgcv, refund, MASS, zoo
Suggests: fda, fields, maps, mapdata
Published: 2016-06-20
Author: Sarah Brockhaus [aut, cre], David Ruegamer [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Maintainer: Sarah Brockhaus <Sarah.Brockhaus at stat.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
Citation: FDboost citation info
Materials: NEWS
In views: FunctionalData
CRAN checks: FDboost results


Reference manual: FDboost.pdf
Vignettes: FDboost FLAM Canada
FDboost FLAM fuel
FDboost FLAM viscosity
Package source: FDboost_0.2-0.tar.gz
Windows binaries: r-devel: FDboost_0.2-0.zip, r-release: FDboost_0.2-0.zip, r-oldrel: FDboost_0.2-0.zip
OS X El Capitan binaries: r-release: FDboost_0.2-0.tgz
OS X Mavericks binaries: r-oldrel: FDboost_0.2-0.tgz
Old sources: FDboost archive


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