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

Calculates the scaling parameter for `betascale`

.

1 |

`member` |
Membership values of an argmax classification method.
Eg. posterior probabilities of |

`grouping` |
Class vector. |

`dis` |
Logical, whether to optimize the dispersion parameter in |

`eps` |
Minimum variation of membership values. If variance is smaller than |

With `betascale`

and `b.scal`

, membership values of an argmax classifier
are scaled in such a way, that the mean membership value of those values which are assigned
to each class reflect the mean correctness rate of that values.
This is done via `qbeta`

and `pbeta`

with the appropriate shape parameters.
If `dis`

is `TRUE`

, it is tried that the variation of membership values
is optimal for the accuracy relative to the correctness rate.
If the variation of the membership values is less than `eps`

,
they are treated as one point and shifted towards the correctness rate.

A list containing

`model` |
Estimated parameters for |

`eps` |
Value of |

`member` |
Scaled membership values. |

Karsten Luebke ([email protected]), Uwe Ligges

Garczarek, Ursula Maria (2002): Classification rules in standardized partition spaces. Dissertation, University of Dortmund. URL http://hdl.handle.net/2003/2789

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