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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>.
Getting started
Browse package contents
Package details |
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| 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@gmail.com> |
| License | GPL-2 |
| Version | 1.1-2 |
| URL | https://github.com/boost-R/FDboost |
| Package repository | View on CRAN |
| Installation |
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