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nFunNN  

Nonlinear Functional Principal Component Analysis using Neural Networks
View on CRAN: Click here


Download and install nFunNN package within the R console
Install from CRAN:
install.packages("nFunNN")

Install from Github:
library("remotes")
install_github("cran/nFunNN")

Install by package version:
library("remotes")
install_version("nFunNN", "1.0")



Attach the package and use:
library("nFunNN")
Maintained by
Rou Zhong
[Scholar Profile | Author Map]
First Published: 2024-04-28
Latest Update: 2024-04-28
Description:
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().
How to cite:
Rou Zhong (2024). nFunNN: Nonlinear Functional Principal Component Analysis using Neural Networks. R package version 1.0, https://cran.r-project.org/web/packages/nFunNN. Accessed 30 Apr. 2025.
Previous versions and publish date:
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Complete documentation for nFunNN
Functions, R codes and Examples using the nFunNN R package
Full nFunNN package functions and examples
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