Description Usage Arguments Value See Also Examples

Functions to compute the log-likelihood, the Akaike Information Criterion, and the Bayesian
Information Criterion for an effectiveness distribution. `effSelect`

and
`which.effSelect`

are helper function for automatic selection from a given list of
candidates.

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`effs` |
the list of candidate distributions to select from. |

`method` |
selection method. One of |

`...` |
other parameters to the selection function. |

`object` |
an effectiveness distribution. |

the selected disttribution (`effSelect`

), or its index within `effs`

(`which.effSelect`

).

`logLik`

, `AIC`

, `BIC`

for details on model
selection.

See `effFitAndSelect`

to fit and select automatically.

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