This function transforms the list of weight parameters,typically the output of neuralnet package (nn$weights) to a single numeric vector in specific order, which will be used as the input to the prediciton interval function. The order of weight parameters is the same as the output of nnet package (nnet$wts).

1 | ```
transWeightListToVect(wtsList,m = 2)
``` |

`wtsList` |
the list of weights found by neuralnet package (nn$weights). For nnet weights output(nnet$wts), there is no need for transformation and it can be used directly by the prediction interval method. |

`m` |
the number of layers of the neural networks, which is the number of hidden layer plus + 1. m is default to 2 for single hidden layer networks. |

the numeric vector of optimal weights found by neural networks, dimension 1 * nPara.

Xichen Ding <rockingdingo@gmail.com>

neuralnet package by Stefan Fritsch, Frauke Guenther

`nnetPredInt`

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