es. This can be done with the <code><a href="vcalc.html">vcalc</a></code> function (and/or see the <code><a href="rcalc.html">rcalc</a></code> function when dealing specifically with dependent correlation coefficients). We can then fit a multivariate/multilevel model to the estimates with the <code><a href="rma.mv.html">rma.mv</a></code> function, using <em></em>\(V\) as the approximate var-cov matrix of the estimates and adding fixed and random effects to the model as deemed necessary. However, since <em><