Package: validann 1.2.1
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.
Authors:
validann_1.2.1.tar.gz
validann_1.2.1.zip(r-4.7-any)validann_1.2.1.zip(r-4.6-any)validann_1.2.1.zip(r-4.5-any)
validann_1.2.1.tgz(r-4.6-any)validann_1.2.1.tgz(r-4.5-any)
validann_1.2.1.tar.gz(r-4.7-any)validann_1.2.1.tar.gz(r-4.6-any)
validann_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
validann/json (API)
| # Install 'validann' in R: |
| install.packages('validann', repos = c('https://gbhumphrey1.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gbhumphrey1/validann/issues
Datasets:
- ar9 - Data generated by autoregressive AR9 model.
Last updated from:b701875c4f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 118 | ||
| source / vignettes | OK | 175 | ||
| linux-release | OK | 113 | ||
| macos-release | OK | 130 | ||
| macos-oldrel | OK | 157 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 103 |
Dependencies:moments
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit Artificial Neural Networks. | ann |
| Data generated by autoregressive AR9 model. | ar9 |
| Return observed target values. | observed |
| Plot ANN validation results. | plot.validann |
| Predict new examples using a trained neural network. | predict.ann |
| Validate Artificial Neural Networks. | validann validann.ann validann.default validann.nnet |
