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