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:
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.
Last updated 2 years agofrom:3bd09c0626. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-linux | NOTE | Oct 27 2024 |
Exports:KFPLS
Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Kernel functional partial least squares method | KFPLS |
Prediction by KFPLS | predict.KFPLS |