summary.abc {abc} | R Documentation |

## Summaries of posterior samples generated by ABC algortithms

### Description

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

### Usage

```
## S3 method for class 'abc'
summary(object, unadj = FALSE, intvl = .95, print = TRUE,
digits = max(3, getOption("digits")-3), ...)
```

### Arguments

`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 |

### Details

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.

### Value

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 |

### See Also

### Examples

```
## see ?abc for examples
```

*abc*version 2.2.1 Index]