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nnlib2Rcpp: A Tool for Creating Custom Neural Networks in C++ and using Them in R

Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.

Version: 0.2.9
Imports: Rcpp , methods, graphics, utils, class
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2024-10-10
DOI: 10.32614/CRAN.package.nnlib2Rcpp
Author: Vasilis Nikolaidis ORCID iD [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <v.nikolaidis at uop.gr>
BugReports: https://github.com/VNNikolaidis/nnlib2Rcpp/issues
License: MIT + file LICENSE
URL: https://github.com/VNNikolaidis/nnlib2Rcpp
NeedsCompilation: yes
Citation: nnlib2Rcpp citation info
CRAN checks: nnlib2Rcpp results

Documentation:

Reference manual: nnlib2Rcpp.pdf
Vignettes: nnlib and nnlib2Rcpp: An Introduction (source)

Downloads:

Package source: nnlib2Rcpp_0.2.9.tar.gz
Windows binaries: r-devel: nnlib2Rcpp_0.2.9.zip, r-release: nnlib2Rcpp_0.2.9.zip, r-oldrel: nnlib2Rcpp_0.2.9.zip
macOS binaries: r-release (arm64): nnlib2Rcpp_0.2.9.tgz, r-oldrel (arm64): nnlib2Rcpp_0.2.9.tgz, r-release (x86_64): nnlib2Rcpp_0.2.9.tgz, r-oldrel (x86_64): nnlib2Rcpp_0.2.9.tgz
Old sources: nnlib2Rcpp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nnlib2Rcpp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.