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: 0.2.8
Imports: Rcpp , methods, graphics, utils, class
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2024-06-10
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


Reference manual: nnlib2Rcpp.pdf
Vignettes: nnlib and nnlib2Rcpp: An Introduction


Package source: nnlib2Rcpp_0.2.8.tar.gz
Windows binaries: r-devel: nnlib2Rcpp_0.2.8.zip, r-release: nnlib2Rcpp_0.2.8.zip, r-oldrel: nnlib2Rcpp_0.2.8.zip
macOS binaries: r-release (arm64): nnlib2Rcpp_0.2.8.tgz, r-oldrel (arm64): nnlib2Rcpp_0.2.8.tgz, r-release (x86_64): nnlib2Rcpp_0.2.8.tgz, r-oldrel (x86_64): nnlib2Rcpp_0.2.8.tgz
Old sources: nnlib2Rcpp archive


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