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.

Install the latest version of this package by entering the following in R:
install.packages("validann")
AuthorGreer B. Humphrey [aut, cre]
Date of publication2017-04-20 08:35:10 UTC
MaintainerGreer B. Humphrey <greer.humphrey@student.adelaide.edu.au>
LicenseGPL (>= 2)
Version1.2.1
http://github.com/gbhumphrey1/validann

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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