Package: nFunNN 1.0

Rou Zhong

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().

Authors:Rou Zhong [aut, cre], Jingxiao Zhang [aut]

nFunNN_1.0.tar.gz
nFunNN_1.0.tar.gz(r-4.7-any)nFunNN_1.0.tar.gz(r-4.6-any)
nFunNN_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nFunNN/json (API)

# Install 'nFunNN' in R:
install.packages('nFunNN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 272 downloads 2 exports 54 dependencies

Last updated from:a252744eab. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE168
source / vignettesOK182
linux-release-x86_64NOTE107
wasm-releaseOK109

Exports:nFunNN_CRnFunNNmodel

Dependencies:ashbitbit64bitopscallrcliclustercolorspacecorocpp11descdeSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaprocessxpsR6rainbowRColorBrewerRcppRCurlrlangS7safetensorsscalestorchvctrsviridisLitewithr