nnet
This package provides functions for feed-forward neural networks and multinomial log-linear models.
Functions
| Function | Description |
|---|---|
| class.ind | Generates a class indicator function from a given factor. |
| multinom | Fits multinomial log-linear models via neural networks. |
| nnet | Fits single-hidden-layer neural network, possibly with skip-layer connections. |
| nnetHess | Evaluates the Hessian (matrix of second derivatives) of
the specified neural network. Normally called via argument
Hess=TRUE to nnet or via vcov.multinom. |
| which.is.max | Finds the maximum position in a vector, breaking ties at random. |
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