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fdarep (version 0.1.1)

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

Description

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

install.packages('fdarep')

Monthly Downloads

140

Version

0.1.1

License

BSD_3_clause + file LICENSE

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Maintainer

Poorbita Kundu

Last Published

March 6th, 2024

Functions in fdarep (0.1.1)

DenseProductFPCA

Product Functional Principal Component Analysis for dense repeated functional data.
Dense2dFPCA

Two-Dimensional Functional Principal Component Analysis for dense repeated functional data.
SparseMarginalFPCA

Marginal Functional Principal Component Analysis for repeated sparse functional data.
DenseMarginalFPCA

Marginal Functional Principal Component Analysis for dense repeated functional data.
SparseProductFPCA

Product Functional Principal Component Analysis for sparse repeated functional data.
fdarep

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