Package: KFPCA
Title: Kendall Functional Principal Component Analysis
Version: 2.0
Authors@R: c(person(given = "Rou", family = "Zhong", role = c("aut", "cre"),
                    email = "zhong_rou@163.com"),
             person(given = "Jingxiao", family = "Zhang", role = "aut"))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: kader, utils, pracma, fdapace, fda, stats, graphics
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-09-25 09:44:58 UTC; root
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2022-02-04 10:30:16 UTC
RemoteUrl: https://github.com/cran/KFPCA
RemoteRef: HEAD
RemoteSha: 664025632f2441faca121b820fc2e20c905f460f