# r-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.

**Versions:**0.0.11**Website:**https://diseaseneurogenomics.github.io/remaCor/**Licenses:**Artistic License 2.0**Package source:**gnu/packages/cran.scm**Builds:**See build status**Issues:**See known issues

## Installation

Install the latest version of `r-remacor`

as follows:

guix install r-remacor

Or install a particular version:

guix install r-remacor@0.0.11

You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the `guix shell`

documentation for more information.