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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=FDboost to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4