The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

KFPLS: Kernel Functional Partial Least Squares

Implementation for kernel functional partial least squares (KFPLS) method. KFPLS method is developed for functional nonlinear models, and the method does not require strict constraints for the nonlinear structures. The crucial function of this package is KFPLS().

Version: 1.0
Imports: fda, splines, stats
Published: 2023-01-10
DOI: 10.32614/CRAN.package.KFPLS
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou at 163.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: KFPLS results

Documentation:

Reference manual: KFPLS.pdf

Downloads:

Package source: KFPLS_1.0.tar.gz
Windows binaries: r-devel: KFPLS_1.0.zip, r-release: KFPLS_1.0.zip, r-oldrel: KFPLS_1.0.zip
macOS binaries: r-release (arm64): KFPLS_1.0.tgz, r-oldrel (arm64): KFPLS_1.0.tgz, r-release (x86_64): KFPLS_1.0.tgz, r-oldrel (x86_64): KFPLS_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=KFPLS to link to this page.

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.