Meta-analysis of genome-wide association studies for studying
    Genotype x Environment interactions.  The 4 main functions of the
    package metaGE.collect(), metaGE.cor(), metaGE.fit() and metaGE.test()
    correspond to 4 steps to perform the meta-analysis: Collecting the
    results of genome-wide association studies data from different files;
    Inferring the inter-environment correlation matrix; Performing global
    test procedure for quantitative trait loci detection (using a Fixed or
    Random effect model); Performing tests of contrast or meta-regression
    using an environmental co-factor. (De Walsche, A., et al. (2023)
    <doi:10.1101/2023.03.01.530237>).

Functionalities for facilitating systematic reviews, data
    extractions, and meta-analyses. It includes a GUI (graphical user interface)
    to help screen the abstracts and titles of bibliographic data; tools to assign
    screening effort across multiple collaborators/reviewers and to assess inter-
    reviewer reliability; tools to help automate the download and retrieval of
    journal PDF articles from online databases; figure and image extractions 
    from PDFs; web scraping of citations; automated and manual data extraction 
    from scatter-plot and bar-plot images; PRISMA (Preferred Reporting Items for
    Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools
    to fill gaps in incomplete or missing study parameters; generation of random
    effects sizes for Hedges' d, log response ratio, odds ratio, and correlation
    coefficients for Monte Carlo experiments; covariance equations for modelling
    dependencies among multiple effect sizes (e.g., effect sizes with a common
    control); and finally summaries that replicate analyses and outputs from 
    widely used but no longer updated meta-analysis software (i.e., metawin).
	Funding for this package was supported by National Science Foundation (NSF) 
	grants DBI-1262545 and DEB-1451031. CITE: Lajeunesse, M.J. (2016) 
	Facilitating systematic reviews, data extraction and meta-analysis with the 
	metagear package for R. Methods in Ecology and Evolution 7, 323-330 
	<doi:10.1111/2041-210X.12472>.