R: Visualization and Analysis Tools for Neural Networks

# Visualization and Analysis Tools for Neural Networks

## Documentation for package ‘NeuralNetTools’ version 1.5.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

bias_lines | Plot connection weights for bias lines
bias_points | Plot bias points
garson | Variable importance using Garson's algorithm
garson.default | Variable importance using Garson's algorithm
garson.mlp | Variable importance using Garson's algorithm
garson.nn | Variable importance using Garson's algorithm
garson.nnet | Variable importance using Garson's algorithm
garson.numeric | Variable importance using Garson's algorithm
garson.train | Variable importance using Garson's algorithm
get_ys | Get y locations for layers in 'plotnet'
layer_lines | Plot connection weights
layer_points | Plot neural network nodes
lekgrps | Create optional barplot for 'lekprofile' groups
lekprofile | Sensitivity analysis using Lek's profile method
lekprofile.default | Sensitivity analysis using Lek's profile method
lekprofile.mlp | Sensitivity analysis using Lek's profile method
lekprofile.nn | Sensitivity analysis using Lek's profile method
lekprofile.nnet | Sensitivity analysis using Lek's profile method
lekprofile.train | Sensitivity analysis using Lek's profile method
neuraldat | Simulated dataset for function examples
neuralskips | Get weights for the skip layer in a neural network
neuralskips.nnet | Get weights for the skip layer in a neural network
neuralweights | Get weights for a neural network
neuralweights.mlp | Get weights for a neural network
neuralweights.nn | Get weights for a neural network
neuralweights.nnet | Get weights for a neural network
neuralweights.numeric | Get weights for a neural network
olden | Variable importance using connection weights
olden.default | Variable importance using connection weights
olden.mlp | Variable importance using connection weights
olden.nn | Variable importance using connection weights
olden.nnet | Variable importance using connection weights
olden.numeric | Variable importance using connection weights
olden.train | Variable importance using connection weights
plotnet | Plot a neural network model
plotnet.default | Plot a neural network model
plotnet.mlp | Plot a neural network model
plotnet.nn | Plot a neural network model
plotnet.nnet | Plot a neural network model
plotnet.numeric | Plot a neural network model
plotnet.train | Plot a neural network model
pred_sens | Predicted values for Lek profile method