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:
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.
Last updated 8 months agofrom:a252744eab. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 27 2024 |
| R-4.5-linux | NOTE | Nov 27 2024 |
Exports:nFunNN_CRnFunNNmodel
Dependencies:ashbitbit64bitopscallrcliclustercolorspacecorodescdeSolveellipsisfansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaprocessxpsR6rainbowRColorBrewerRcppRCurlrlangsafetensorsscalestibbletorchutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Curve reconstruction | nFunNN_CR |
| Nonlinear FPCA using neural networks | nFunNNmodel |