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 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
Repository: https://magosil86.r-universe.dev
Date/Publication: 2021-05-08 22:10:29 UTC
RemoteUrl: https://github.com/magosil86/getmstatistic
RemoteRef: HEAD
RemoteSha: b99b362abef3fcd1488da6912c12f8e5cce58ed5
NeedsCompilation: no
Packaged: 2026-10-13 13:40:34 UTC; root
Author: Lerato E Magosi [aut],
Jemma C Hopewell [aut],
Martin Farrall [aut],
Lerato E Magosi [cre]
Maintainer: Lerato E Magosi