Description Usage Arguments Details Value Note Author(s) See Also Examples

The softmax function: exponentiate a vector and then normalize.

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`eta` |
numeric array of the odds. The odds are de-meaned within each group. |

`g` |
a vector giving the group indices. If |

Given vector *η* for a single group, essentially
computes vector *μ* defined by

*μ_i = \frac{\exp{η_i}}{∑_j \exp{η_j}}.*

Note that this computation should be invariant with respect
to level shifts of the *η*, and thus we de-mean
the odds first.

the exponentiated data normalized. For the row-wise version, each row is soft maxed.

This function can deal with overflow in a semi-coherent way.

Steven E. Pav shabbychef@gmail.com

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