Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data

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) . Chen, K., & Müller, H. G. (2012) . Hall, P., Müller, H.G. and Wang, J.L. (2006) . Yao, F., Müller, H. G., & Wang, J. L. (2005) .

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install.packages("fdarep")

0.1.1 by Poorbita Kundu, 3 years ago

https://github.com/functionaldata/tFDArep

Report a bug at https://github.com/functionaldata/tFDArep/issues

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

Authors: 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]

Documentation: PDF Manual

BSD_3_clause + file LICENSE license

Imports Rcpp, fdapace, Hmisc, stats, MASS, Matrix, pracma, numDeriv

Suggests testthat

Linking to Rcpp, RcppEigen

See at CRAN

fdarep

Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data

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