Kendall Functional Principal Component Analysis

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) .


Reference manual

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install.packages("KFPCA")

2.0 by Rou Zhong, 5 years ago


Browse source code at https://github.com/cran/KFPCA


Authors: Rou Zhong [aut, cre] , Jingxiao Zhang [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports kader, utils, pracma, fdapace, fda, stats, graphics


See at CRAN