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validann  

Validation Tools for Artificial Neural Networks
View on CRAN: Click here


Download and install validann package within the R console
Install from CRAN:
install.packages("validann")

Install from Github:
library("remotes")
install_github("cran/validann")

Install by package version:
library("remotes")
install_version("validann", "1.2.1")



Attach the package and use:
library("validann")
Maintained by
Greer B. Humphrey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-21
Latest Update: 2017-04-20
Description:
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.
How to cite:
Greer B. Humphrey (2016). validann: Validation Tools for Artificial Neural Networks. R package version 1.2.1, https://cran.r-project.org/web/packages/validann. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2016-07-21 19:09), 1.1.0 (2016-11-08 08:10), 1.2.0 (2016-11-16 12:58), 1.2.1 (2017-04-20 10:35)
Other packages that cited validann R package
View validann citation profile
Other R packages that validann depends, imports, suggests or enhances
Complete documentation for validann
Functions, R codes and Examples using the validann R package
Some associated functions: ann . ar9 . observed . plot.validann . predict.ann . validann . 
Some associated R codes: ann.R . ar9.R . plot.validann.R . validann.R .  Full validann package functions and examples
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