  Meta-regression models are commonly used to synthesize and compare effect
sizes. Unfortunately, traditional meta-regression methods are ill-equipped to
handle the complex and often unknown correlations among non-independent effect
sizes. Robust variance estimation (RVE) is a recently proposed meta-analytic
method for dealing with dependent effect sizes. The robumeta package provides
functions for performing robust variance meta-regression using both large and
small sample RVE estimators under various weighting schemes. These methods are
distribution free and provide valid point estimates, standard errors and
hypothesis tests even when the degree and structure of dependence between
effect sizes is unknown.
