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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/p_rope.R
\title{Probability of not being in ROPE}
p_rope(x, ...)

\method{p_rope}{default}(x, ...)

\method{p_rope}{numeric}(x, range = "default", ...)

\method{p_rope}{data.frame}(x, range = "default", ...)

\method{p_rope}{emmGrid}(x, range = "default", ...)

\method{p_rope}{BFBayesFactor}(x, range = "default", ...)

\method{p_rope}{MCMCglmm}(x, range = "default", ...)

  range = "default",
  effects = c("fixed", "random", "all"),
  parameters = NULL,

  range = "default",
  effects = c("fixed", "random", "all"),
  component = c("conditional", "zi", "zero_inflated", "all"),
  parameters = NULL,
\item{x}{Vector representing a posterior distribution. Can also be a \code{stanreg} or \code{brmsfit} model.}

\item{...}{Currently not used.}

\item{range}{ROPE's lower and higher bounds. Should be a vector of length two (e.g., \code{c(-0.1, 0.1)}) or \code{"default"}. If \code{"default"}, the range is set to \code{c(-0.1, 0.1)} if input is a vector, and based on \code{\link[=rope_range]{rope_range()}} if a Bayesian model is provided.}

\item{effects}{Should results for fixed effects, random effects or both be returned?
Only applies to mixed models. May be abbreviated.}

\item{parameters}{Regular expression pattern that describes the parameters that
should be returned. Meta-parameters (like \code{lp__} or \code{prior_}) are
filtered by default, so only parameters that typically appear in the
\code{summary()} are returned. Use \code{parameters} to select specific parameters
for the output.}

\item{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 \pkg{brms}-models.}
Compute the proportion of the posterior distribution that doesn't lie within a region of practical equivalence (ROPE). It is equivalent to running \code{rope(..., ci = 1)}.

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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