Description Usage Arguments Value Examples

View source: R/brmsfit-methods.R

Extract the group-level ('random') effects of each level
from a `brmsfit`

object.

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`object` |
An object of class |

`summary` |
Should summary statistics be returned
instead of the raw values? Default is |

`robust` |
If |

`probs` |
The percentiles to be computed by the |

`pars` |
Optional names of coefficients to extract. By default, all coefficients are extracted. |

`groups` |
Optional names of grouping variables for which to extract effects. |

`...` |
Currently ignored. |

A list of 3D arrays (one per grouping factor).
If `summary`

is `TRUE`

,
the 1st dimension contains the factor levels,
the 2nd dimension contains the summary statistics
(see `posterior_summary`

), and
the 3rd dimension contains the group-level effects.
If `summary`

is `FALSE`

, the 1st dimension contains
the posterior draws, the 2nd dimension contains the factor levels,
and the 3rd dimension contains the group-level effects.

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