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'))

Peer review:

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

1.00 score 143 downloads 1 exports 48 dependencies

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

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-linuxNOTENov 26 2024

Exports:KFPLS

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr