.create_tmp_vcv

Creates a variance-covariance matrix for a subset of data using metafor's vcalc function.

internal

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

.create_tmp_vcv function

<dl><dt>data</dt>
<dd>A data frame containing the variables specified in vcalc_args.</dd>
<dt>vcalc_args</dt>
<dd>A list of arguments for metafor::vcalc function, including:<ul>
<li>vi: Name of the variance column</li>
<li>cluster: Name of the clustering variable column</li>
<li>obs: Name of the observation ID column</li>
<li>rho: Correlation coefficient between effect sizes</li>
</ul></dd></dl>

Arguments

Facundo Decunta - fdecunta@agro.uba.ar

Author

Create Temporary Variance-Covariance Matrix — .create_tmp_vcv

<dl>

<dt>data</dt>
<dd>A data frame containing the variables specified in vcalc_args.</dd>


<dt>vcalc_args</dt>
<dd>A list of arguments for metafor::vcalc function, including:<ul>
<li>vi: Name of the variance column</li>
<li>cluster: Name of the clustering variable column</li>
<li>obs: Name of the observation ID column</li>
<li>rho: Correlation coefficient between effect sizes</li>
</ul></dd>

</dl>

.create_tmp_vcv: Create Temporary Variance-Covariance Matrix

Description

Usage

Value

Arguments

Author