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>.
| Version: | 1.1-3 |
| Depends: | mboost (≥ 2.9-0), R (≥ 3.5.0) |
| Imports: | gamboostLSS (≥ 2.0-0), graphics, grDevices,MASS,Matrix, methods,mgcv,stabs, stats, utils,zoo |
| Suggests: | fda,fields,ggplot2,knitr,mapdata,maps,refund,testthat |
| Published: | 2025-08-23 |
| DOI: | 10.32614/CRAN.package.FDboost |
| 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 at gmail.com> |
| 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 |
| In views: | FunctionalData |
| CRAN checks: | FDboost results |
Documentation:
| Reference manual: | FDboost.html ,FDboost.pdf |
| Vignettes: | FDboost FLAM Canada (source,R code) FDboost FLAM fuel (source,R code) FDboost FLAM viscosity (source,R code) FDboost density-on-scalar births (source,R code) |
Downloads:
| Package source: | FDboost_1.1-3.tar.gz |
| Windows binaries: | r-devel:FDboost_1.1-3.zip, r-release:FDboost_1.1-3.zip, r-oldrel:FDboost_1.1-3.zip |
| macOS binaries: | r-release (arm64):FDboost_1.1-3.tgz, r-oldrel (arm64):FDboost_1.1-3.tgz, r-release (x86_64):FDboost_1.1-3.tgz, r-oldrel (x86_64):FDboost_1.1-3.tgz |
| Old sources: | FDboost archive |
Reverse dependencies:
| Reverse suggests: | mlr,mlr3fda,runDRT |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=FDboostto link to this page.