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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: 2022-01-06
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

Documentation:

Reference manual: NeuralNetTools.pdf
Vignettes: Overview

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:

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.
Health stats visible at Monitor.