DESCRIPTION

Type: Package
Package: remaCor
Title: Random Effects Meta-Analysis for Correlated Test Statistics
Version: 0.0.19
Date: 2024-02-27
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: 7.2.3
LinkingTo: Rcpp, RcppArmadillo