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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 |
Reverse suggests: | mpae, RSNNS, vip |
Please use the canonical form https://CRAN.R-project.org/package=NeuralNetTools to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.