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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.
Getting started
Browse package contents
Package details |
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| 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@stat.uni-muenchen.de> |
| License | GPL-2 |
| Version | 0.2-1 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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