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Functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression. More details, see Beyaztas, U., and Shang, H. L. (2021) <doi:10.48550/arXiv.2111.01238> and Beyaztas, U., and Shang, H. L. (2022) <doi:10.48550/arXiv.2203.05065>.
Version: | 1.2 |
Depends: | R (≥ 3.5.0), fda, MASS, robustbase |
Imports: | expm, fda.usc, goffda, mvtnorm, pcaPP, fields |
Published: | 2024-01-23 |
DOI: | 10.32614/CRAN.package.robflreg |
Author: | Ufuk Beyaztas |
Maintainer: | Ufuk Beyaztas <ufukbeyaztas at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | ChangeLog |
In views: | FunctionalData |
CRAN checks: | robflreg results |
Reference manual: | robflreg.pdf |
Package source: | robflreg_1.2.tar.gz |
Windows binaries: | r-devel: robflreg_1.2.zip, r-release: robflreg_1.2.zip, r-oldrel: robflreg_1.2.zip |
macOS binaries: | r-release (arm64): robflreg_1.2.tgz, r-oldrel (arm64): robflreg_1.2.tgz, r-release (x86_64): robflreg_1.2.tgz, r-oldrel (x86_64): robflreg_1.2.tgz |
Old sources: | robflreg archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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