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>.
| Version: | 1.0 |
| Depends: | graphics, grDevices, stats, utils |
| Published: | 2018-07-10 |
| DOI: | 10.32614/CRAN.package.FPCA3D |
| Author: | Nan Lin, Momiao Xiong |
| Maintainer: | Nan Lin <edmondlinnan at gmail.com> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | FPCA3D results |
| Reference manual: | FPCA3D.html , FPCA3D.pdf |
| Package source: | FPCA3D_1.0.tar.gz |
| Windows binaries: | r-devel: FPCA3D_1.0.zip, r-release: FPCA3D_1.0.zip, r-oldrel: FPCA3D_1.0.zip |
| macOS binaries: | r-release (arm64): FPCA3D_1.0.tgz, r-oldrel (arm64): FPCA3D_1.0.tgz, r-release (x86_64): FPCA3D_1.0.tgz, r-oldrel (x86_64): FPCA3D_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=FPCA3D to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.