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robflreg: Robust Functional Linear Regression

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
Author: Ufuk Beyaztas ORCID iD [aut, cre, cph], Han Lin Shang ORCID iD [aut]
Maintainer: Ufuk Beyaztas <ufukbeyaztas at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: ChangeLog
In views: FunctionalData
CRAN checks: robflreg results

Documentation:

Reference manual: robflreg.pdf

Downloads:

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

Linking:

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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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