The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 1.2.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | moments |
| Suggests: | nnet, knitr, rmarkdown |
| Published: | 2017-04-20 |
| DOI: | 10.32614/CRAN.package.validann |
| Author: | Greer B. Humphrey [aut, cre] |
| Maintainer: | Greer B. Humphrey <greer.humphrey at student.adelaide.edu.au> |
| BugReports: | http://github.com/gbhumphrey1/validann/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://github.com/gbhumphrey1/validann |
| NeedsCompilation: | no |
| Citation: | validann citation info |
| CRAN checks: | validann results |
| Reference manual: | validann.pdf |
| Package source: | validann_1.2.1.tar.gz |
| Windows binaries: | r-devel: validann_1.2.1.zip, r-release: validann_1.2.1.zip, r-oldrel: validann_1.2.1.zip |
| macOS binaries: | r-release (arm64): validann_1.2.1.tgz, r-oldrel (arm64): validann_1.2.1.tgz, r-release (x86_64): validann_1.2.1.tgz, r-oldrel (x86_64): validann_1.2.1.tgz |
| Old sources: | validann archive |
| Reverse suggests: | NNbenchmark |
Please use the canonical form https://CRAN.R-project.org/package=validann 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.
Health stats visible at Monitor.