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
DOI: 10.32614/CRAN.package.validann
Author: Greer B. Humphrey [aut, cre]
Maintainer: Greer B. Humphrey <greer.humphrey at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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:, r-release:, r-oldrel:
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 dependencies:

Reverse suggests: NNbenchmark


Please use the canonical form to link to this page.