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: | 1.1-2 |
| 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: | 2023-08-12 |
| 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 [issues need fixing before 2025-09-03] |
| 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) |
| Package source: | FDboost_1.1-2.tar.gz |
| Windows binaries: | r-devel: FDboost_1.1-2.zip, r-release: FDboost_1.1-2.zip, r-oldrel: FDboost_1.1-2.zip |
| macOS binaries: | r-release (arm64): FDboost_1.1-2.tgz, r-oldrel (arm64): FDboost_1.1-2.tgz, r-release (x86_64): FDboost_1.1-2.tgz, r-oldrel (x86_64): FDboost_1.1-2.tgz |
| Old sources: | FDboost archive |
| Reverse suggests: | mlr, runDRT |
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