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-4.7-any)KFPLS_1.0.tar.gz(r-4.6-any)
KFPLS_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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 173 downloads 1 exports 43 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE116
source / vignettesOK168
linux-release-x86_64NOTE149
wasm-releaseOK113

Exports:KFPLS

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr