Implementation for 'nFunNN' method, which is a novel nonlinear functional principal component analysis method using neural networks. The crucial function of this package is nFunNNmodel().
| Version: | 1.0 |
| Imports: | fda, splines, stats, torch |
| Published: | 2024-04-28 |
| DOI: | 10.32614/CRAN.package.nFunNN |
| Author: | Rou Zhong [aut, cre], Jingxiao Zhang [aut] |
| Maintainer: | Rou Zhong <zhong_rou at 163.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | nFunNN results |
| Reference manual: | nFunNN.html , nFunNN.pdf |
| Package source: | nFunNN_1.0.tar.gz |
| Windows binaries: | r-devel: nFunNN_1.0.zip, r-release: nFunNN_1.0.zip, r-oldrel: nFunNN_1.0.zip |
| macOS binaries: | r-release (arm64): nFunNN_1.0.tgz, r-oldrel (arm64): nFunNN_1.0.tgz, r-release (x86_64): nFunNN_1.0.tgz, r-oldrel (x86_64): nFunNN_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=nFunNN 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.