Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data. References: Chen, K., Delicado, P., & Müller, H. G. (2017) <doi:10.1111/rssb.12160>. Chen, K., & Müller, H. G. (2012) <doi:10.1080/01621459.2012.734196>. Hall, P., Müller, H.G. and Wang, J.L. (2006) <doi:10.1214/009053606000000272>. Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>.
Version: 0.1.1 Imports: Rcpp (≥ 0.11.5), fdapace, Hmisc, stats, MASS, Matrix, pracma, numDeriv LinkingTo: Rcpp, RcppEigen Suggests: testthat (≥ 3.0.0) Published: 2024-03-06 DOI: 10.32614/CRAN.package.fdarep Author: Poorbita Kundu [aut, cre], Changbo Zhu [aut], Kehui Chen [aut], Pedro Delicado [aut], Su I Iao [aut], Hang Zhou [aut], Han Chen [aut], Muqing Cui [aut], Hans-Georg Müller [cph, ths, aut] Maintainer: Poorbita Kundu <pkundu at ucdavis.edu> BugReports: https://github.com/functionaldata/tFDArep/issues License: BSD_3_clause + file LICENSE URL: https://github.com/functionaldata/tFDArep NeedsCompilation: yes CRAN checks: fdarep results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fdarep to link to this page.
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