Visualization and Analysis Tools for Neural Networks [R package NeuralNetTools version 1.5.3]

Marcus W. Beck

NeuralNetTools: Visualization and Analysis Tools for Neural Networks

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年01月06日

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

Documentation:

Reference manual: NeuralNetTools.html , NeuralNetTools.pdf

Vignettes: Overview (source, R code)

Downloads:

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 dependencies:

Reverse imports: ModTools, NeuralSens, radiant.model, SEMdeep

Reverse suggests: mpae, RSNNS, vip

Linking:

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