Package: KFPCA 2.0

Rou Zhong

KFPCA: 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) <arxiv:2102.01286>. Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) <doi:10.1016/j.jmva.2021.104864>.

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

KFPCA_2.0.tar.gz
KFPCA_2.0.tar.gz(r-4.5-noble)KFPCA_2.0.tar.gz(r-4.4-noble)
KFPCA_2.0.tgz(r-4.4-emscripten)KFPCA_2.0.tgz(r-4.3-emscripten)
KFPCA.pdf |KFPCA.html
KFPCA/json (API)

# Install 'KFPCA' in R:
install.packages('KFPCA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • CD4 - CD4 cell counts

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 140 downloads 9 exports 88 dependencies

Last updated 3 years agofrom:664025632f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-linuxOKNov 02 2024

Exports:FPCscoreLSEGenDataKLGetGCVbw1DGetGCVbw2DkernfunKFPCAKFPCA_regMeanEstSparsePlot

Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacedata.tabledeSolvedigestevaluatefansifarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2gluegridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekaderkernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmunsellmvtnormnlmennetnumDerivpcaPPpillarpkgconfigpracmaR6rainbowrappdirsRColorBrewerRcppRcppEigenRCurlrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml