Description Usage Arguments Examples

Compute the proportion of the whole posterior distribution that doesn't lie within a region of practical equivalence (ROPE). It is equivalent to running `rope(..., ci = 1)`

.

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p_rope(x, ...)
## Default S3 method:
p_rope(x, ...)
## S3 method for class 'numeric'
p_rope(x, range = "default", ...)
## S3 method for class 'data.frame'
p_rope(x, range = "default", ...)
## S3 method for class 'emmGrid'
p_rope(x, range = "default", ...)
## S3 method for class 'BFBayesFactor'
p_rope(x, range = "default", ...)
## S3 method for class 'MCMCglmm'
p_rope(x, range = "default", ...)
## S3 method for class 'stanreg'
p_rope(
x,
range = "default",
effects = c("fixed", "random", "all"),
component = c("location", "all", "conditional", "smooth_terms", "sigma",
"distributional", "auxiliary"),
parameters = NULL,
...
)
## S3 method for class 'brmsfit'
p_rope(
x,
range = "default",
effects = c("fixed", "random", "all"),
component = c("conditional", "zi", "zero_inflated", "all"),
parameters = NULL,
...
)
``` |

`x` |
Vector representing a posterior distribution. Can also be a |

`...` |
Currently not used. |

`range` |
ROPE's lower and higher bounds. Should be |

`effects` |
Should results for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated. |

`component` |
Should results for all parameters, parameters for the conditional model or the zero-inflated part of the model be returned? May be abbreviated. Only applies to brms-models. |

`parameters` |
Regular expression pattern that describes the parameters
that should be returned. Meta-parameters (like |

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