metavcov: 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).

Version: 2.1.1
Depends: R (≥ 3.5.0)
Imports: mice, ggplot2
Suggests: mvmeta, metaSEM
Published: 2021-10-07
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
CRAN checks: metavcov results

Downloads:

Reference manual: metavcov.pdf
Package source: metavcov_2.1.1.tar.gz
Windows binaries: r-devel: metavcov_2.1.1.zip, r-release: metavcov_2.1.1.zip, r-oldrel: metavcov_2.1.1.zip
macOS binaries: r-release (arm64): metavcov_2.1.tgz, r-release (x86_64): metavcov_2.1.1.tgz, r-oldrel: metavcov_2.1.1.tgz
Old sources: metavcov archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=metavcov to link to this page.