metavcov: 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).

Version: 2.1.5
Depends: R (≥ 3.5.0)
Imports: ggplot2
Suggests: mixmeta, metaSEM, mvmeta, mice
Published: 2023-06-24
DOI: 10.32614/CRAN.package.metavcov
Author: Min Lu
Maintainer: Min Lu <m.lu6 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: metavcov citation info
Materials: NEWS
In views: MetaAnalysis, MissingData
CRAN checks: metavcov results


Reference manual: metavcov.pdf


Package source: metavcov_2.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metavcov_2.1.5.tgz, r-oldrel (arm64): metavcov_2.1.5.tgz, r-release (x86_64): metavcov_2.1.5.tgz, r-oldrel (x86_64): metavcov_2.1.5.tgz
Old sources: metavcov archive


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