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
DOI: 10.32614/CRAN.package.nFunNN
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: nFunNN results


Reference manual: nFunNN.pdf


Package source: nFunNN_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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