funpca: Functional Principal Component Analysis

Functional principal component analysis under the Linear Mixed Models representation of smoothing splines. The method utilizes the Demmler-Reinsch basis and assumes error independence. For more details see: F. Rosales (2016) <https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6>.

Package details

AuthorFrancisco Rosales [aut, cph, cre], Tatyana Krivobokova [con, ths]
MaintainerFrancisco Rosales <francisco.rosales-marticorena@protonmail.com>
LicenseGPL-2
Version9.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("funpca")

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funpca documentation built on July 10, 2023, 2:03 a.m.