remaCor

Random Effects Meta-Analysis for Correlated Test Statistics

CRAN Package

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.


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Insights

Last 30 days

This package has been downloaded 1,184 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 39 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
39 downloadsMar 4, 2025
47 downloadsMar 5, 2025
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45 downloadsMar 10, 2025
61 downloadsMar 11, 2025
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49 downloadsMar 17, 2025
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39 downloadsMar 19, 2025
78 downloadsMar 20, 2025
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38 downloadsApr 1, 2025
39 downloadsApr 2, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 12,484 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Sep 17, 2024 with 88 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Depends1 package
  • Imports5 packages
  • Suggests4 packages
  • Linking To2 packages