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: 1.2.1
Depends: R (≥ 3.1.0)
Imports: moments
Suggests: nnet, knitr, rmarkdown
Published: 2017-04-20
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

Downloads:

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: validann_1.2.1.tgz, r-oldrel: validann_1.2.1.tgz
Old sources: validann archive

Reverse dependencies:

Reverse suggests: NNbenchmark

Linking:

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