Visualization and analysis tools to aid in the interpretation of neural network models. Functions are available for plotting, quantifying variable importance, conducting a sensitivity analysis, and obtaining a simple list of model weights.
Version: | 1.5.3 |
Depends: | R (≥ 3.1.1) |
Imports: | ggplot2 (≥ 2.0.0), nnet, reshape2, scales, tidyr |
Suggests: | caret, neuralnet, RSNNS, knitr, rmarkdown |
Published: | 2022-01-06 |
DOI: | 10.32614/CRAN.package.NeuralNetTools |
Author: | Marcus W. Beck [aut, cre] |
Maintainer: | Marcus W. Beck <mbafs2012 at gmail.com> |
BugReports: | https://github.com/fawda123/NeuralNetTools/issues |
License: | CC0 |
NeedsCompilation: | no |
Citation: | NeuralNetTools citation info |
CRAN checks: | NeuralNetTools results |
Reference manual: | NeuralNetTools.pdf |
Vignettes: |
Overview |
Package source: | NeuralNetTools_1.5.3.tar.gz |
Windows binaries: | r-devel: NeuralNetTools_1.5.3.zip, r-release: NeuralNetTools_1.5.3.zip, r-oldrel: NeuralNetTools_1.5.3.zip |
macOS binaries: | r-release (arm64): NeuralNetTools_1.5.3.tgz, r-oldrel (arm64): NeuralNetTools_1.5.3.tgz, r-release (x86_64): NeuralNetTools_1.5.3.tgz, r-oldrel (x86_64): NeuralNetTools_1.5.3.tgz |
Old sources: | NeuralNetTools archive |
Reverse imports: | ModTools, NeuralSens, radiant.model, SEMdeep |
Reverse suggests: | mpae, RSNNS, vip |
Please use the canonical form https://CRAN.R-project.org/package=NeuralNetTools to link to this page.