Package: funpca
Type: Package
Title: Functional Principal Component Analysis
Version: 9.0
Date: 2023-06-08
Authors@R: c(person("Francisco Rosales", email = "francisco.rosales-marticorena@protonmail.com", role 	= c("aut", "cph","cre")), person("Tatyana Krivobokova", email = 	"tatyana.krivobokova@univie.ac.at", role = c("con", "ths")))
Depends: Brobdingnag, MASS, nlme, fda
Description: 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>.
License: GPL-2
NeedsCompilation: no
Packaged: 2023-06-14 22:49:53 UTC; arakata
Author: Francisco Rosales [aut, cph, cre],
  Tatyana Krivobokova [con, ths]
Maintainer: Francisco Rosales <francisco.rosales-marticorena@protonmail.com>
Repository: CRAN
Date/Publication: 2023-06-15 17:20:05 UTC
Built: R 4.6.0; ; 2026-04-26 02:09:32 UTC; unix
