Type: Package
Package: remaCor
Title: Random Effects Meta-Analysis for Correlated Test Statistics
Version: 0.0.11
Date: 2022-10-11
Authors@R: 
    person("Gabriel", "Hoffman", , "gabriel.hoffman@mssm.edu", role = c("aut", "cre"))
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, metafor
Depends: R (>= 3.6.0), RUnit, clusterGeneration, ggplot2, grid,
        reshape2, methods
Imports: mvtnorm, compiler, Rdpack, stats
VignetteBuilder: knitr
RdMacros: Rdpack
Encoding: UTF-8
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2022-11-10 18:33:37 UTC; gabrielhoffman
Author: Gabriel Hoffman [aut, cre]
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:05 UTC
Built: R 4.1.3; ; 2023-04-17 17:13:13 UTC; windows
