Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data R package fdarep version 0.1.1 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>. Software Imports: Rcpp (>= 0.11.5), fdapace, Hmisc, stats, MASS, Matrix, pracma, numDeriv LinkingTo: Rcpp, RcppEigen Suggests: testthat (>= 3.0.0) Poorbita Kundu <pkundu@ucdavis.edu> Comprehensive R Archive Network (CRAN) 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] BSD_3_clause + file LICENSE (https://CRAN.R-project.org/package=fdarep/LICENSE) 2024-03-06 application/tgz https://CRAN.R-project.org/package=fdarep doi:10.32614/CRAN.package.fdarep