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
NeedsCompilation: yes
Packaged: 2025-08-20 00:53:23 UTC; gabrielhoffman
Author: Gabriel Hoffman [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0957-0224>)
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>
Repository: CRAN
Date/Publication: 2025-08-20 02:40:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-05-14 18:37:13 UTC; windows
Archs: x64
