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KFPCA

2.0

Kendall Functional Principal Component Analysis

0packages depend
2.5Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Rou ZhongFirst published 2021-02-112 releasesCRAN page ↗

Implementation for Kendall functional principal component analysis. Kendall functional principal component analysis is a robust functional principal component analysis technique for non-Gaussian functional/longitudinal data. The crucial function of this package is KFPCA() and KFPCA_reg(). Moreover, least square estimates of functional principal component scores are also provided. Refer to Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) arXiv:2102.01286. Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) doi:10.1016/j.jmva.2021.104864.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.4 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
27%

Downloads

2.5K
CRAN downloads in the past year
Rank #13,907 · ~7/day · ~211/mo
Daily download trend is not available in this view yet.
27230 days
73690 days
2.5K1 year
Compare downloads with other packages →
Also on99 r2u10 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (7)
kaderutilspracmafdapacefdastatsgraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author · added in 2.0
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • 2.0Latest
    2022-02-04 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0
    2021-02-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-02-11
Total releases
2 / 5 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
4.7 KB / 1 file
Download size
22 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("KFPCA")
Zhong, R., & Zhang, J. (2022). KFPCA: Kendall Functional Principal Component Analysis (Version 2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.KFPCA

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 KFPCA version 2.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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