.validate_vcalc_args

Ensures that the arguments provided for variance-covariance calculation are
valid and refer to existing variables in the model data. Performs checks on
the structure and content of the vcalc_args list.

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_vcalc_args function

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

Arguments

Facundo Decunta - fdecunta@agro.uba.ar

Author

Validate Variance-Covariance Calculation Arguments — .validate_vcalc_args

<dl>

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


<dt>vcalc_args</dt>
<dd>A list of arguments for the metafor::vcalc function.</dd>

</dl>

.validate_vcalc_args: Validate Variance-Covariance Calculation Arguments

Description

Usage

Value

Arguments

Author