CRAN/E | KFPCA

KFPCA

Kendall Functional Principal Component Analysis

Installation

About

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) . Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) doi:10.1016/j.jmva.2021.104864.

Key Metrics

Version 2.0
R ≥ 2.10
Published 2022-02-04 806 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks KFPCA results

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Maintainer

Maintainer

Rou Zhong

zhong_rou@163.com

Authors

Rou Zhong

aut / cre

Jingxiao Zhang

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

KFPCA archive

Depends

R ≥ 2.10

Imports

kader
utils
pracma
fdapace
fda
stats
graphics