Package: pfica 0.1.3
Marc Vidal
pfica: Independent Components Analysis Techniques for Functional Data
This package includes a set of tools to perform 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) “Novel whitening approaches in functional settings", <doi:10.1002/sta4.516>. Further whitening representations of functional data can be derived in terms of a few principal components, providing a powerful avenue to explore hidden structures in low dimensional settings: see Vidal, Rosso and Aguilera (2021) “Bi-smoothed functional independent component analysis for EEG artifact removal”, <doi:10.3390/math9111243>.
Authors:
pfica_0.1.3.tar.gz
pfica_0.1.3.zip(r-4.5)pfica_0.1.3.zip(r-4.4)pfica_0.1.3.zip(r-4.3)
pfica_0.1.3.tgz(r-4.4-any)pfica_0.1.3.tgz(r-4.3-any)
pfica_0.1.3.tar.gz(r-4.5-noble)pfica_0.1.3.tar.gz(r-4.4-noble)
pfica_0.1.3.tgz(r-4.4-emscripten)pfica_0.1.3.tgz(r-4.3-emscripten)
pfica.pdf |pfica.html✨
pfica/json (API)
# Install 'pfica' in R: |
install.packages('pfica', repos = c('https://marcvidalbadia.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/m-vidal/pfica/issues
b-splinesfobiicakurtosispenalization
Last updated 2 years agofrom:a8d9d17364. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
R-4.4-win | OK | Oct 25 2024 |
R-4.4-mac | OK | Oct 25 2024 |
R-4.3-win | OK | Oct 25 2024 |
R-4.3-mac | OK | Oct 25 2024 |
Exports:ffobikffobipspline.kffobiwhiten.fd
Dependencies:ashbitopscliclustercolorspacecorpcordeSolveexpmfansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewhiteningwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Smoothed functional ICA | ffobi |
Smoothed functional PCA/ICA | kffobi |
P-Spline smoothed functional PCA/ICA | pspline.kffobi |
Whitening (or sphering) functional data | whiten.fd |