NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages

Datasets and functions to benchmark (convergence, speed, ease of use) R packages dedicated to regression with neural networks (no classification in this version). The templates for the tested packages are available in the R, R Markdown and HTML formats at <https://github.com/pkR-pkR/NNbenchmarkTemplates> and <https://theairbend3r.github.io/NNbenchmarkWeb/index.html>. The submitted article to the R-Journal can be read at <https://www.inmodelia.com/gsoc2020.html>.

Version:	3.2.0
Depends:	R (≥ 3.5.0)
Imports:	R6, pkgload
Suggests:	brnn, validann
Published:	2021-06-05
Author:	Patrice Kiener [aut, cre], Christophe Dutang [aut], Salsabila Mahdi [aut], Akshaj Verma [aut], Yifu Yan [ctb]
Maintainer:	Patrice Kiener <rpackages at inmodelia.com>
License:	GPL-2
URL:	https://github.com/pkR-pkR/NNbenchmark
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	NNbenchmark results

Documentation:

Reference manual:

NNbenchmark.pdf

Downloads:

Package source:	NNbenchmark_3.2.0.tar.gz
Windows binaries:	r-devel: NNbenchmark_3.2.0.zip, r-release: NNbenchmark_3.2.0.zip, r-oldrel: NNbenchmark_3.2.0.zip
macOS binaries:	r-release (arm64): NNbenchmark_3.2.0.tgz, r-oldrel (arm64): NNbenchmark_3.2.0.tgz, r-release (x86_64): NNbenchmark_3.2.0.tgz, r-oldrel (x86_64): NNbenchmark_3.2.0.tgz
Old sources:	NNbenchmark archive

Linking:

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