.validate_robust_args

Validates that robust_args contains the required parameters and that they
reference valid columns in the data. Ensures that the cluster variable exists
in the provided model data.

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

.validate_robust_args function

<dl><dt>model_data</dt>
<dd>A data frame containing the variables used in the model.</dd>
<dt>robust_args</dt>
<dd>A list of arguments for the metafor::robust function.</dd></dl>

Arguments

Facundo Decunta - fdecunta@agro.uba.ar

Author

Validate Robust Variance Estimation Arguments — .validate_robust_args

<dl>

<dt>model_data</dt>
<dd>A data frame containing the variables used in the model.</dd>


<dt>robust_args</dt>
<dd>A list of arguments for the metafor::robust function.</dd>

</dl>

.validate_robust_args: Validate Robust Variance Estimation Arguments

Description

Usage

Value

Arguments

Author