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nFunNN

Nonlinear Functional Principal Component Analysis using Neural Networks

v1.0 · Apr 28, 2024 · GPL (>= 3)
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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().

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r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang NOTE
r-devel-linux-x86_64-fedora-gcc NOTE
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-windows-x86_64 OK
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NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘stats’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘stats’
  All declared Imports should be used.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘stats’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘stats’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies fda torch nFunNN

Version History

new 1.0 Mar 10, 2026