Package: KFPLS 1.0

Rou Zhong

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().

Authors:Rou Zhong [aut, cre], Jingxiao Zhang [aut]

KFPLS_1.0.tar.gz
KFPLS_1.0.tar.gz(r-4.5-noble)KFPLS_1.0.tar.gz(r-4.4-noble)
KFPLS_1.0.tgz(r-4.4-emscripten)KFPLS_1.0.tgz(r-4.3-emscripten)
KFPLS.pdf |KFPLS.html✨
KFPLS/json (API)

# Install 'KFPLS' in R:
install.packages('KFPLS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 142 downloads 1 exports 48 dependencies

Last updated 2 years agofrom:3bd09c0626. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-linuxNOTEMar 26 2025
R-4.4-linuxNOTEMar 26 2025

Exports:KFPLS

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr