brmshypothesis {brms} | R Documentation |

## Descriptions of `brmshypothesis`

Objects

### Description

A `brmshypothesis`

object contains posterior draws
as well as summary statistics of non-linear hypotheses as
returned by `hypothesis`

.

### Usage

```
## S3 method for class 'brmshypothesis'
print(x, digits = 2, chars = 20, ...)
## S3 method for class 'brmshypothesis'
plot(
x,
nvariables = 5,
N = NULL,
ignore_prior = FALSE,
chars = 40,
colors = NULL,
theme = NULL,
ask = TRUE,
plot = TRUE,
...
)
```

### Arguments

`x` |
An object of class |

`digits` |
Minimal number of significant digits,
see |

`chars` |
Maximum number of characters of each hypothesis
to print or plot. If |

`...` |
Currently ignored. |

`nvariables` |
The number of variables (parameters) plotted per page. |

`N` |
Deprecated alias of |

`ignore_prior` |
A flag indicating if prior distributions should also be plotted. Only used if priors were specified on the relevant parameters. |

`colors` |
Two values specifying the colors of the posterior
and prior density respectively. If |

`theme` |
A |

`ask` |
Logical; indicates if the user is prompted
before a new page is plotted.
Only used if |

`plot` |
Logical; indicates if plots should be
plotted directly in the active graphic device.
Defaults to |

### Details

The two most important elements of a `brmshypothesis`

object are
`hypothesis`

, which is a data.frame containing the summary estimates
of the hypotheses, and `samples`

, which is a data.frame containing
the corresponding posterior draws.

### See Also

*brms*version 2.21.0 Index]