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 163.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	nFunNN results [issues need fixing before 2026-04-28]

Documentation:

Reference manual:

nFunNN.html , 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:

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