summary.postpr {abc} | R Documentation |

## Posterior model probabilities and Bayes factors

### Description

This function extracts the posterior model probabilities and
calculates the Bayes factors from an object of class `"postpr"`

.

### Usage

```
## S3 method for class 'postpr'
summary(object, rejection = TRUE, print = TRUE, digits
= max(3, getOption("digits")-3), ...)
```

### Arguments

`object` |
an object of class |

`rejection` |
logical, if method is |

`print` |
logical, if |

`digits` |
the digits to be rounded to. |

`...` |
other arguments. |

### Value

A list with the following components if method=`"rejection"`

:

`Prob` |
an object of class |

`BayesF` |
an object of class |

A list with the following components if method is `"mnlogistic"`

or `"neuralnet"`

and rejection is `TRUE`

:

`rejection` |
a list with the same components as above |

`mnlogistic` |
a list with the same components as above |

### See Also

### Examples

```
## see ?postpr for examples
```

*abc*version 2.2.1 Index]