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 | 
| DOI: | 10.32614/CRAN.package.NNbenchmark | 
| Author: | Patrice Kiener | 
| 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 | 
| Reference manual: | NNbenchmark.html , NNbenchmark.pdf | 
| 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 | 
Please use the canonical form https://CRAN.R-project.org/package=NNbenchmark to link to this page.