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Kernel Functional Partial Least Squares

0packages depend
1.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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().

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘splines’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 55 s · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.9K
CRAN downloads in the past year
Rank #23,693 · ~5/day · ~159/mo
Daily download trend is not available in this view yet.
22430 days
53690 days
1.9K1 year
Compare downloads with other packages →
Also on70 r2u4 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing KFPLS adds 37 packages (23 with compiled code, 32 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fds 3.7 MB, mclust 2.7 MB.

Depends (0)
none
Imports (3)
fdasplinesstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0 (2023)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0Latest
    2023-01-10 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-01-10
Total releases
1 / 3 yrs
License
GPL (>= 3) OSI
Download size
4.4 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("KFPLS")
Zhong, R., & Zhang, J. (2023). KFPLS: Kernel Functional Partial Least Squares (Version 1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.KFPLS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for KFPLS version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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