Description Usage Arguments Value Note Author(s) See Also

Compute summary statistics of resampling-based prediction error results.

1 2 3 4 5 6 7 8 |

`x` |
an object inheriting from class |

`FUN` |
a function to compute the summary statistics. |

`select` |
a character, integer or logical vector indicating the columns of prediction error results for which to compute the summary statistics. |

`...` |
for the |

The `"perry"`

method returns a vector or matrix of aggregated
prediction error results, depending on whether `FUN`

returns a single
value or a vector.

For the other methods, a data frame containing the aggregated
prediction error results for each model is returned. In the case of the
`"perryTuning"`

method, the data frame contains the combinations of
tuning parameters rather than a column describing the models.

Duplicate indices in `subset`

or `select`

are removed such
that all models and prediction error results are unique.

Andreas Alfons

`perryFit`

, `perrySelect`

,
`perryTuning`

, `aggregate`

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