validann
1.2.1Validation Tools for Artificial Neural Networks
Overview
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
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-22email to the maintainer is undeliverable
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.2.12017-04-20 · diff ↗
- 1.2.02016-11-16 · diff ↗
- 1.1.02016-11-08 · diff ↗
- 1.0.02016-07-21
- RR 3.3.0 released · 2016-05-03
Package metadata
- Total releases
- 4
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1.0
- Bundled data
- 6.2 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("validann")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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