Description Usage Arguments Value See Also Examples

The function `pnn.x_imp`

derives the importance of a predictor used in the PNN,
where the "importance" is measured by the increase in cross entropy after eliminating the impact
of the predictor in interest.

1 | ```
pnn.x_imp(net, i)
``` |

`net` |
A PNN object generated by pnn.fit() |

`i` |
The ith predictor in the PNN |

A vector with the variable name and two values of importance measurements, namely "imp1" and "imp2". The "imp1" measures the increase in cross entropy after replacing all values of the predictor with its mean. The "imp2" measures the increase in cross entropy after dropping the predictor from the PNN.

1 2 3 4 5 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.