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nFunNN: Nonlinear Functional Principal Component Analysis using Neural Networks

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
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

Documentation:

Reference manual: nFunNN.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nFunNN to link to this page.

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.
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