p_rope  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, ...)
## S3 method for class 'numeric'
p_rope(x, range = "default", verbose = TRUE, ...)
## S3 method for class 'data.frame'
p_rope(x, range = "default", rvar_col = NULL, verbose = TRUE, ...)
## 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,
verbose = TRUE,
...
)
## S3 method for class 'brmsfit'
p_rope(
x,
range = "default",
effects = c("fixed", "random", "all"),
component = c("conditional", "zi", "zero_inflated", "all"),
parameters = NULL,
verbose = verbose,
...
)
x 
Vector representing a posterior distribution. Can also be a

... 
Currently not used. 
range 
ROPE's lower and higher bounds. Should be 
verbose 
Toggle off warnings. 
rvar_col 
A single character  the name of an 
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 zeroinflated part of the model be returned? May be abbreviated. Only applies to brmsmodels. 
parameters 
Regular expression pattern that describes the parameters
that should be returned. Metaparameters (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))
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