Type: Package
Package: remaCor
Title: Random Effects Meta-Analysis for Correlated Test Statistics
Version: 0.0.20
Date: 2025-08-04
Authors@R: 
    person("Gabriel", "Hoffman", role=c("aut", "cre"), email="gabriel.hoffman@mssm.edu", comment=c(ORCID="0000-0002-0957-0224"))
Description: 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>.
License: Artistic-2.0
URL: https://diseaseneurogenomics.github.io/remaCor/
BugReports: https://github.com/DiseaseNeurogenomics/remaCor/issues
Suggests: knitr, RUnit, clusterGeneration, metafor
Depends: R (>= 3.6.0), ggplot2, methods
Imports: mvtnorm, grid, reshape2, compiler, Rcpp, EnvStats, Rdpack,
        stats
VignetteBuilder: knitr
RdMacros: Rdpack
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo
Config/pak/sysreqs: libicu-dev
Repository: https://diseaseneurogenomics.r-universe.dev
Date/Publication: 2025-08-07 18:32:03 UTC
RemoteUrl: https://github.com/diseaseneurogenomics/remacor
RemoteRef: HEAD
RemoteSha: e1b3bbccc1b5e0f61e2cd1a248f7ff4871207c92
NeedsCompilation: yes
Packaged: 2026-10-10 07:39:19 UTC; root
Author: Gabriel Hoffman [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0957-0224>)
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>