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-4.5-noble)nFunNN_1.0.tar.gz(r-4.4-noble)
nFunNN_1.0.tgz(r-4.4-emscripten)nFunNN_1.0.tgz(r-4.3-emscripten)
nFunNN.pdf |nFunNN.html✨
nFunNN/json (API)

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

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

1.00 score 545 downloads 2 exports 59 dependencies

Last updated 10 months agofrom:a252744eab. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 26 2025
R-4.5-linuxNOTEJan 26 2025

Exports:nFunNN_CRnFunNNmodel

Dependencies:ashbitbit64bitopscallrcliclustercolorspacecorodescdeSolveellipsisfansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaprocessxpsR6rainbowRColorBrewerRcppRCurlrlangsafetensorsscalestibbletorchutf8vctrsviridisLitewithr