<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Kendall Functional Principal Component Analysis</dc:title>
  <dc:title>R package KFPCA version 2.0</dc:title>
  <dc: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) &lt;arXiv:2102.01286&gt;. Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) &lt;doi:10.1016/j.jmva.2021.104864&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: kader, utils, pracma, fdapace, fda, stats, graphics</dc:relation>
  <dc:creator>Rou Zhong &lt;zhong_rou@163.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rou Zhong [aut, cre],
  Jingxiao Zhang [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-02-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=KFPCA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.KFPCA</dc:identifier>
</oai_dc:dc>