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>.
| Version: | 9.0 |
| Depends: | Brobdingnag, MASS, nlme, fda |
| Published: | 2023-06-15 |
| DOI: | 10.32614/CRAN.package.funpca |
| Author: | Francisco Rosales [aut, cph, cre], Tatyana Krivobokova [con, ths] |
| Maintainer: | Francisco Rosales <francisco.rosales-marticorena at protonmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | funpca results |
| Reference manual: | funpca.html , funpca.pdf |
| Package source: | funpca_9.0.tar.gz |
| Windows binaries: | r-devel: funpca_9.0.zip, r-release: funpca_9.0.zip, r-oldrel: funpca_9.0.zip |
| macOS binaries: | r-release (arm64): funpca_9.0.tgz, r-oldrel (arm64): funpca_9.0.tgz, r-release (x86_64): funpca_9.0.tgz, r-oldrel (x86_64): funpca_9.0.tgz |
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