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

Collection of functions to compute within-study covariances for different effect sizes, data visualization, and single and multiple imputations 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).


Reference manual

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install.packages("metavcov")

2.1.5 by Min Lu, 3 years 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  


GPL (>= 2) license


Imports ggplot2

Suggests mixmeta, metaSEM, mvmeta, mice


See at CRAN