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)
- Version0.0.18
- R version≥ 3.6.0
- LicenseArtistic-2.0
- Needs compilation?Yes
- remaCor citation info
- Last release02/08/2024
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Team
Gabriel Hoffman
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- Depends3 packages
- Imports8 packages
- Suggests4 packages
- Linking To2 packages
- Reverse Imports2 packages