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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.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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.