remaCor
Random Effects Meta-Analysis for Correlated Test Statistics
Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.20 |
rolling linux/jammy R-4.5 | remaCor_0.0.20.tar.gz |
724.9 KiB |
0.0.20 |
rolling linux/noble R-4.5 | remaCor_0.0.20.tar.gz |
725.9 KiB |
0.0.20 |
rolling source/ R- | remaCor_0.0.20.tar.gz |
678.6 KiB |
0.0.20 |
latest linux/jammy R-4.5 | remaCor_0.0.20.tar.gz |
724.9 KiB |
0.0.20 |
latest linux/noble R-4.5 | remaCor_0.0.20.tar.gz |
725.9 KiB |
0.0.20 |
latest source/ R- | remaCor_0.0.20.tar.gz |
678.6 KiB |
0.0.20 |
2026-04-26 source/ R- | remaCor_0.0.20.tar.gz |
678.6 KiB |
0.0.20 |
2026-04-23 source/ R- | remaCor_0.0.20.tar.gz |
678.6 KiB |
0.0.20 |
2026-04-09 windows/windows R-4.5 | remaCor_0.0.20.zip |
1.1 MiB |
0.0.18 |
2025-04-20 source/ R- | remaCor_0.0.18.tar.gz |
672.2 KiB |