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pfica  

Independent Components Analysis Techniques for Functional Data
View on CRAN: Click here


Download and install pfica package within the R console
Install from CRAN:
install.packages("pfica")

Install from Github:
library("remotes")
install_github("cran/pfica")

Install by package version:
library("remotes")
install_version("pfica", "0.1.3")



Attach the package and use:
library("pfica")
Maintained by
Marc Vidal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-18
Latest Update: 2023-01-06
Description:
Performs smoothed (and non-smoothed) principal/independent components analysis of functional data. Various functional pre-whitening approaches are implemented as discussed in Vidal and Aguilera (2022)
How to cite:
Marc Vidal (2020). pfica: Independent Components Analysis Techniques for Functional Data. R package version 0.1.3, https://cran.r-project.org/web/packages/pfica. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.1.0 (2020-09-18 14:20), 0.1.1 (2020-12-14 09:50), 0.1.2 (2021-06-03 11:50)
Other packages that cited pfica R package
View pfica citation profile
Other R packages that pfica depends, imports, suggests or enhances
Complete documentation for pfica
Functions, R codes and Examples using the pfica R package
Some associated functions: ffobi . kffobi . pspline.kffobi . whiten.fd . 
Some associated R codes: ffobi.R . kffobi.R . pspline.kffobi.R . whiten.fd.R .  Full pfica package functions and examples
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