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.zip(r-4.7-any)KFPLS_1.0.zip(r-4.6-any)
KFPLS_1.0.tar.gz(r-4.7-any)KFPLS_1.0.tar.gz(r-4.6-any)
KFPLS_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 234 downloads 1 exports 43 dependencies

Last updated from:3bd09c0626. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE163
source / vignettesOK216
linux-releaseNOTE124
windows-develNOTE71
windows-releaseNOTE67
wasm-releaseOK108

Exports:KFPLS

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr