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 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. Also included are functions for conducting sensitivity analyses under correlated effects weighting and producing RVE-based forest plots.


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Reference manual

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install.packages("robumeta")

2.0 by Zachary Fisher, 2 years ago


https://github.com/zackfisher/robumeta


Report a bug at https://github.com/zackfisher/robumeta/issues


Browse source code at https://github.com/cran/robumeta


Authors: Zachary Fisher [aut, cre] , Elizabeth Tipton [aut] , Hou Zhipeng [aut]


Documentation:   PDF Manual  


Task views: Meta-Analysis, Robust Statistical Methods


GPL-2 license


Suggests clubSandwich, R.rsp


Imported by PublicationBias.

Suggested by clubSandwich.


See at CRAN