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'))

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

1.00 score 152 downloads 1 exports 48 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 25 2025
R-4.5-linuxNOTEJan 25 2025

Exports:KFPLS

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr