DESCRIPTION

Package: getmstatistic
Title: Quantifying Systematic Heterogeneity in Meta-Analysis
Version: 0.2.2
Authors@R: c(
    person("Lerato E", "Magosi", email = "lmagosi@well.ox.ac.uk", 
    role = "aut",),
    person("Jemma C", "Hopewell", email = "jemma.hopewell@ndph.ox.ac.uk", 
    role = "aut"), 
    person("Martin", "Farrall", email = "mfarrall@well.ox.ac.uk", 
    role = "aut"),
    person("Lerato E", "Magosi", email = "magosil86@gmail.com", 
    role = "cre")
    )
Description: Quantifying systematic heterogeneity in meta-analysis using R.
    The M statistic aggregates heterogeneity information across multiple
    variants to, identify systematic heterogeneity patterns and their direction
    of effect in meta-analysis. It's primary use is to identify outlier studies,
    which either show "null" effects or consistently show stronger or weaker
    genetic effects than average across, the panel of variants examined in a
    GWAS meta-analysis. In contrast to conventional heterogeneity metrics
    (Q-statistic, I-squared and tau-squared) which measure random heterogeneity
    at individual variants, M measures systematic (non-random)
    heterogeneity across multiple independently associated variants. Systematic
    heterogeneity can arise in a meta-analysis due to differences in the study
    characteristics of participating studies. Some of the differences may
    include: ancestry, allele frequencies, phenotype definition, age-of-disease
    onset, family-history, gender, linkage disequilibrium and quality control
    thresholds. See <https://magosil86.github.io/getmstatistic/> for statistical
    statistical theory, documentation and examples.
Depends: 
    R (>= 3.1.0)
License: MIT + file LICENSE
URL: https://magosil86.github.io/getmstatistic/
BugReports: https://github.com/magosil86/getmstatistic/issues
LazyData: true
Imports: 
    ggplot2 (>= 1.0.1),
    gridExtra (>= 0.9.1),
    gtable (>= 0.1.2),
    metafor (>= 1.9-6),
    psych (>= 1.5.1),
    stargazer (>= 5.1)
Suggests: 
    foreign (>= 0.8-62),
    knitr (>= 1.10.5),
    testthat,
    covr,
    rmarkdown
RoxygenNote: 7.1.1
VignetteBuilder: knitr