CRAN/E | metavcov

metavcov

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

Installation

About

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).

Citation metavcov citation info
github.com/luminwin/metavcov
Bug report File report

Key Metrics

Version 2.1.5
R ≥ 3.5.0
Published 2023-06-24 314 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks metavcov results

Downloads

Yesterday 11 -45%
Last 7 days 77 +4%
Last 30 days 281 +4%
Last 90 days 795 -25%
Last 365 days 3.957 -11%

Maintainer

Maintainer

Min Lu

m.lu6@umiami.edu

Authors

Min Lu

Material

NEWS
Reference manual
Package source

In Views

MetaAnalysis
MissingData

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

metavcov archive

Depends

R ≥ 3.5.0

Imports

ggplot2

Suggests

mixmeta
metaSEM
mvmeta
mice