weighted_var

Generates prediction intervals and orchard plots for
meta-analytic and meta-regression models fitted with the 'metafor'
package. Orchard plots augment classic forest plots by displaying
individual effect sizes together with group means and their confidence
and prediction intervals, providing an enhanced visualization of
meta-analytic data for ecology, evolution, and beyond. Methods are
described in Nakagawa et al. (2023) <doi:10.1111/2041-210X.14152>.

Daniel Noble

orchaRd

Visualizing Meta-Analyses with Orchard Plots and Prediction
Intervals

Shinichi Nakagawa

weighted_var function

<dl><dt>x</dt>
<dd>A vector of tau2s to be averaged</dd>
<dt>weights</dt>
<dd>Weights, or sample sizes, used to average the variance</dd></dl>

Arguments

Shinichi Nakagawa - s.nakagawa@unsw.edu.au
Daniel Noble - daniel.noble@anu.edu.au

Author

weighted_var — weighted_var

<dl>

<dt>x</dt>
<dd>A vector of tau2s to be averaged</dd>


<dt>weights</dt>
<dd>Weights, or sample sizes, used to average the variance</dd>

</dl>

weighted_var: weighted_var

Description

Usage

Value

Arguments

Author