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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).
Getting started
Browse package contents
Package details |
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| Author | Min Lu <m.lu6@umiami.edu> |
| Maintainer | Min Lu <m.lu6@umiami.edu> |
| License | GPL (>= 2) |
| Version | 2.1.5 |
| URL | https://github.com/luminwin/metavcov |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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