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
Author: Min Lu
Maintainer: Min Lu <m.lu6 at umiami.edu>
BugReports: https://github.com/luminwin/metavcov/issues/new
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/luminwin/metavcov
NeedsCompilation: no
Citation: metavcov citation info
Materials: NEWS
In views: MetaAnalysis, MissingData
CRAN checks: metavcov results

Documentation:

Reference manual: metavcov.pdf

Downloads:

Package source: metavcov_2.1.5.tar.gz
Windows binaries: r-devel: metavcov_2.1.5.zip, r-release: metavcov_2.1.5.zip, r-oldrel: metavcov_2.1.5.zip
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
Old sources: metavcov archive

Linking:

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