Package: FPCA3D 1.0
FPCA3D: Three Dimensional Functional Component Analysis
Run three dimensional functional principal component analysis and return the three dimensional functional principal component scores. The details of the method are explained in Lin et al.(2015) <doi:10.1371/journal.pone.0132945>.
Authors:
FPCA3D_1.0.tar.gz
FPCA3D_1.0.zip(r-4.5)FPCA3D_1.0.zip(r-4.4)FPCA3D_1.0.zip(r-4.3)
FPCA3D_1.0.tgz(r-4.4-any)FPCA3D_1.0.tgz(r-4.3-any)
FPCA3D_1.0.tar.gz(r-4.5-noble)FPCA3D_1.0.tar.gz(r-4.4-noble)
FPCA3D_1.0.tgz(r-4.4-emscripten)FPCA3D_1.0.tgz(r-4.3-emscripten)
FPCA3D.pdf |FPCA3D.html✨
FPCA3D/json (API)
| # Install 'FPCA3D' in R: |
| install.packages('FPCA3D', repos = c('https://edmondlinnan.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:ec740cf723. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Exports:FFT2FS_3DFPCA_3D_score
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Three Dimensional Functional Component Analysis | FPCA3D-package FPCA3D |
| Three dimensional Fourier Series | FFT2FS_3D |
| Three Dimensional Functional Component Analysis | FPCA_3D_score |
