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getmstatistic
View on CRAN: Click
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Download and install getmstatistic package within the R console
Install from CRAN:
install.packages("getmstatistic")
Install from Github:
library("remotes")
install_github("cran/getmstatistic") Install by package version:
library("remotes")
install_version("getmstatistic", "0.2.2") Attach the package and use:
library("getmstatistic")
Maintained by
Lerato E Magosi
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All associated links for this package
First Published: 2017-06-06
Latest Update: 2021-05-09
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.
How to cite:
Lerato E Magosi (2017). getmstatistic: Quantifying Systematic Heterogeneity in Meta-Analysis. R package version 0.2.2, https://cran.r-project.org/web/packages/getmstatistic. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Complete documentation for getmstatistic
Functions, R codes and Examples using
the getmstatistic R package
Some associated functions: draw_table . getmstatistic . heartgenes214 .
Some associated R codes: compute_mstatistics.R . data.R . driver_compute_mstatistics.R . getmstatistic_welcome.R . util_draw_table.R . Full getmstatistic package functions and examples
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