Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis

Collection of functions to compute covariances for different effect sizes, data visualization, and single and multiple imputation for missing data. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).


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Reference manual

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install.packages("metavcov")

2.1.1 by Min Lu, 17 days ago


https://github.com/luminwin/metavcov


Report a bug at https://github.com/luminwin/metavcov/issues/new


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


Authors: Min Lu <[email protected]>


Documentation:   PDF Manual  


Task views: Meta-Analysis


GPL (>= 2) license


Imports mice, ggplot2

Suggests mvmeta, metaSEM


See at CRAN