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) <>.

Version: 9.0
Depends: Brobdingnag, MASS, nlme, fda
Published: 2023-06-15
Author: Francisco Rosales [aut, cph, cre], Tatyana Krivobokova [con, ths]
Maintainer: Francisco Rosales <francisco.rosales-marticorena at>
License: GPL-2
NeedsCompilation: no
CRAN checks: funpca results


Reference manual: funpca.pdf


Package source: funpca_9.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): funpca_9.0.tgz, r-release (arm64): funpca_9.0.tgz, r-oldrel (arm64): funpca_9.0.tgz, r-prerel (x86_64): funpca_9.0.tgz, r-release (x86_64): funpca_9.0.tgz


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