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: | 0.3-3 |
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: | 2020-06-21 |
Author: | Sarah Brockhaus [aut, cre], David Ruegamer [aut], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb] |
Maintainer: | Sarah Brockhaus <Sarah.Brockhaus at stat.uni-muenchen.de> |
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 |
CRAN checks: | FDboost results |
Reference manual: | FDboost.pdf |
Vignettes: |
FDboost FLAM Canada FDboost FLAM fuel FDboost FLAM viscosity |
Package source: | FDboost_0.3-3.tar.gz |
Windows binaries: | r-devel: FDboost_0.3-3.zip, r-release: FDboost_0.3-3.zip, r-oldrel: FDboost_0.3-3.zip |
macOS binaries: | r-release: FDboost_0.3-3.tgz, r-oldrel: FDboost_0.3-3.tgz |
Old sources: | FDboost archive |
Reverse suggests: | mlr |
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