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: 2022-02-04 11:09:41 UTC; 11013
Author: Rou Zhong [aut, cre],
  Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: CRAN
Date/Publication: 2022-02-04 11:30:16 UTC
Built: R 4.6.0; ; 2026-04-25 13:45:06 UTC; unix
