p_rope {bayestestR} | R Documentation |
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)
.
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 |
library(bayestestR) p_rope(x = rnorm(1000, 0, 0.01), range = c(-0.1, 0.1)) p_rope(x = mtcars, range = c(-0.1, 0.1))