validann: Validation Tools for Artificial Neural Networks
Methods and tools for analysing and validating the outputs and modelled functions of artificial neural networks (ANNs) in terms of predictive, replicative and structural validity. Also provides a method for fitting feed-forward ANNs with a single hidden layer.
| Version: | 1.3 |
| Depends: | R (≥ 3.1.0) |
| Imports: | moments |
| Suggests: | nnet, knitr, rmarkdown |
| Published: | 2026-08-19 |
| DOI: | 10.32614/CRAN.package.validann |
| Author: | Greer B. Humphrey [aut],
Patrice Kiener 
[cre] |
| Maintainer: | Patrice Kiener <rpackages at inmodelia.com> |
| BugReports: | https://github.com/gbhumphrey1/validann/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/gbhumphrey1/validann |
| NeedsCompilation: | no |
| Citation: | validann citation info |
| Materials: | NEWS |
| CRAN checks: | validann results |
Documentation:
| Reference manual: | validann.html , validann.pdf |
Downloads:
| Package source: | validann_1.3.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: validann_1.3.zip |
| macOS binaries: | r-release (arm64): validann_1.3.tgz, r-oldrel (arm64): validann_1.3.tgz, r-release (x86_64): validann_1.3.tgz, r-oldrel (x86_64): validann_1.3.tgz |
| Old sources: | validann archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=validann to link to this page.