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 using a component-wise gradient boosting algorithm.

Version: 0.0-8
Depends: R (≥ 3.0.0), mboost (≥ 2.4-2)
Imports: Matrix, mgcv, zoo, MASS
Suggests: fda, fields, maps, mapdata
Published: 2015-02-16
Author: Sarah Brockhaus
Maintainer: Sarah Brockhaus <Sarah.Brockhaus at stat.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
Citation: FDboost citation info
CRAN checks: FDboost results

Downloads:

Reference manual: FDboost.pdf
Vignettes: FDboost FLAM Canada
FDboost FLAM fuel
FDboost FLAM viscosity
Package source: FDboost_0.0-8.tar.gz
Windows binaries: r-devel: FDboost_0.0-8.zip, r-release: FDboost_0.0-8.zip, r-oldrel: FDboost_0.0-8.zip
OS X Snow Leopard binaries: r-oldrel: FDboost_0.0-8.tgz
OS X Mavericks binaries: r-release: FDboost_0.0-8.tgz
Old sources: FDboost archive