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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.5 |
rolling linux/jammy R-4.5 | metavcov_2.1.5.tar.gz |
199.4 KiB |
2.1.5 |
rolling linux/noble R-4.5 | metavcov_2.1.5.tar.gz |
199.4 KiB |
2.1.5 |
rolling source/ R- | metavcov_2.1.5.tar.gz |
28.4 KiB |
2.1.5 |
latest linux/jammy R-4.5 | metavcov_2.1.5.tar.gz |
199.4 KiB |
2.1.5 |
latest linux/noble R-4.5 | metavcov_2.1.5.tar.gz |
199.4 KiB |
2.1.5 |
latest source/ R- | metavcov_2.1.5.tar.gz |
28.4 KiB |
2.1.5 |
2026-04-26 source/ R- | metavcov_2.1.5.tar.gz |
28.4 KiB |
2.1.5 |
2026-04-23 source/ R- | metavcov_2.1.5.tar.gz |
28.4 KiB |
2.1.5 |
2026-04-09 windows/windows R-4.5 | metavcov_2.1.5.zip |
203.8 KiB |
2.1.5 |
2025-04-20 source/ R- | metavcov_2.1.5.tar.gz |
28.4 KiB |