summary.brmsfit {brms} | R Documentation |

## Create a summary of a fitted model represented by a `brmsfit`

object

### Description

Create a summary of a fitted model represented by a `brmsfit`

object

### Usage

```
## S3 method for class 'brmsfit'
summary(
object,
priors = FALSE,
prob = 0.95,
robust = FALSE,
mc_se = FALSE,
...
)
```

### Arguments

`object` |
An object of class |

`priors` |
Logical; Indicating if priors should be included
in the summary. Default is |

`prob` |
A value between 0 and 1 indicating the desired probability to be covered by the uncertainty intervals. The default is 0.95. |

`robust` |
If |

`mc_se` |
Logical; Indicating if the uncertainty in |

`...` |
Other potential arguments |

### Details

The convergence diagnostics `Rhat`

, `Bulk_ESS`

, and
`Tail_ESS`

are described in detail in Vehtari et al. (2020).

### References

Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, and Paul-Christian Bürkner (2020). Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC. *Bayesian Analysis*. 1–28. dpi:10.1214/20-BA1221

*brms*version 2.21.0 Index]