Robumeta r

- robu Fitting Robust Variance Meta-Regression Models Description robu is used to meta-regression models using robust variance estimation (RVE) methods. robu can be used to estimate correlated and hierarchical effects models using the original (Hedges, Tipton and Johnson, 2010) and small-sample corrected (Tipton, 2013) RVE methods.
**R robumeta package**. Robust Variance Meta-Regression. Functions for conducting robust variance estimation (RVE) meta-regression using both large and small sample RVE estimators under various weighting schemes. These methods- A variety of outlier and influential case diagnostics can be computed when conducting a meta-analysis (Viechtbauer & Cheung, 2010). The figure below shows a plot of the (1) externally standardized residuals, (2) DFFITS values, (3) Cook's distances, (4) covariance ratios, (5) leave-one-out estimates of the amount of heterogeneity, (6) leave-one ...
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- Creates a between-study (or between-cluster) version of the covariate in question.