.percent

This is an internal helper function to calculate and label
the percentage of a posterior distribution that falls within
the Region of Practical Equivalence (ROPE) or
at or beyond a Minimally Important Difference (MID).
It is designed to fail gracefully if no window given, and to
give some useful labels about the windows / range used.
Intended for use internally as part of <code>brmsmargins()</code>.

internal

Calculate Bayesian marginal effects, average marginal effects, and marginal coefficients (also called population averaged coefficients) for models fit using the 'brms' package including fixed effects, mixed effects, and location scale models. These are based on marginal predictions that integrate out random effects if necessary (see for example <doi:10.1186/s12874-015-0046-6> and <doi:10.1111/biom.12707>).

Joshua F Wiley

brmsmargins

Bayesian Marginal Effects for 'brms' Models

Joshua F. Wiley

Donald Hedeker

.percent function

<dl><dt>x</dt>
<dd>A vector of values to evaluate. Required.</dd>
<dt>window</dt>
<dd>An optional numeric vector giving a window.</dd>
<dt>within</dt>
<dd>A logical value indicating whether to calculate the
percentage within the window (if <code>TRUE</code>) or the
percentage at or outside the window (if <code>FALSE</code>).
Defaults to <code>TRUE</code>.</dd></dl>

Arguments

Calculate Percent of Observations Within or Without a Window — .percent

<dl>

<dt>x</dt>
<dd>A vector of values to evaluate. Required.</dd>


<dt>window</dt>
<dd>An optional numeric vector giving a window.</dd>


<dt>within</dt>
<dd>A logical value indicating whether to calculate the
percentage within the window (if <code>TRUE</code>) or the
percentage at or outside the window (if <code>FALSE</code>).
Defaults to <code>TRUE</code>.</dd>

</dl>

.percent: Calculate Percent of Observations Within or Without a Window

Description

Usage

Value

Arguments