# NeuralNetTools v1.5.2

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## 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.

## Functions in NeuralNetTools

Name | Description | |

layer_lines | Plot connection weights | |

layer_points | Plot neural network nodes | |

neuralskips | Get weights for the skip layer in a neural network | |

neuraldat | Simulated dataset for function examples | |

bias_lines | Plot connection weights for bias lines | |

bias_points | Plot bias points | |

pred_sens | Predicted values for Lek profile method | |

plotnet | Plot a neural network model | |

garson | Variable importance using Garson's algorithm | |

get_ys | Get y locations for layers in plotnet | |

lekgrps | Create optional barplot for lekprofile groups | |

lekprofile | Sensitivity analysis using Lek's profile method | |

neuralweights | Get weights for a neural network | |

olden | Variable importance using connection weights | |

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## Last month downloads

## Details

Type | Package |

Date | 2018-07-26 |

BugReports | https://github.com/fawda123/NeuralNetTools/issues |

License | CC0 |

LazyData | true |

RoxygenNote | 6.0.1 |

NeedsCompilation | no |

Packaged | 2018-07-26 20:14:19 UTC; Marcus |

Repository | CRAN |

Date/Publication | 2018-07-26 22:10:03 UTC |

suggests | caret , neuralnet , RSNNS |

imports | ggplot2 (>= 2.0.0) , nnet , reshape2 , scales , tidyr |

depends | R (>= 3.1.1) |

Contributors |

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