Description Usage Arguments Details Value See Also Examples

Calculates simple summaries of posterior samples: the minimum and maximum, the weighted mean, median, mode, and credible intervals.

1 2 3 |

`object` |
an object of class |

`unadj` |
logical, if TRUE it forces to plot the unadjusted values when |

`intvl` |
size of the symmetric credible interval. |

`print` |
logical, if |

`digits` |
the digits to be rounded to. Can be a vector of the same length as the number of parameters, when each parameter is rounded to its corresponding digits. |

`...` |
other arguments passed to |

If method is `"rejection"`

in the original call to
`abc`

, posterior means, medians, modes and percentiles
defined by `intvl`

, 95 by default (credible intervals) are
calculated. If a regression correction was used (i.e. method is
`"loclinear"`

or `"neuralnet"`

in the original call to
`abc`

) the weighted posterior means, medians, modes and
percentiles are calculated.

To calculate the mode, parameters are passed on from
`density.default`

. Note that the posterior mode can be
rather different depending on the parameters to estimate the
density.

The returned value is an object of class `"table"`

. The rows are,

`Min.` |
minimun |

`Lower perc.` |
lower percentile |

`Median` |
or weighted median |

`Mean` |
or weighted mean |

`Mode` |
or weighted mode |

`Upper perc.` |
upper percentile |

`Max.` |
maximum |

1 | ```
## see ?abc for examples
``` |

```
Loading required package: abc.data
Loading required package: nnet
Loading required package: quantreg
Loading required package: SparseM
Attaching package: 'SparseM'
The following object is masked from 'package:base':
backsolve
Loading required package: MASS
Loading required package: locfit
locfit 1.5-9.1 2013-03-22
```

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