Description Usage Arguments Value Author(s) Examples

This function trains an ensemble of random neural networks using balanced bootstrapped data

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`formula` |
Formula for containing outcome and all of the predictors of interest |

`train` |
Training dataset |

`mtry` |
Number of predictors to randomly try |

`total.nets` |
Number of total networks to train |

`max.it` |
Number of iterations for training a network |

`verbose` |
Whether or not to be verbose |

`n.cores` |
Number of cores to use |

`hidden.layers` |
Number of hidden layers |

`hidden.units` |
Number of neurons in a hidden unit |

A list with each element as a neural network

Peter Xenopoulos

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