Package: getspres
Title: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
Version: 0.2.0
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: An implementation of SPRE (standardised predicted
        random-effects) statistics in R to explore heterogeneity in
        genetic association meta- analyses, as described by Magosi et
        al. (2019) <doi:10.1093/bioinformatics/btz590>. SPRE statistics
        are precision weighted residuals that indicate the direction
        and extent with which individual study-effects in a
        meta-analysis deviate from the average genetic effect. Overly
        influential positive outliers have the potential to inflate
        average genetic effects in a meta-analysis whilst negative
        outliers might lower or change the direction of effect. See the
        'getspres' website for documentation and examples
        <https://magosil86.github.io/getspres/>.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
URL: https://magosil86.github.io/getspres/
BugReports: https://github.com/magosil86/getspres/issues
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr (>= 1.10.5), testthat, covr, rmarkdown
VignetteBuilder: knitr
Imports: metafor (>= 1.9-6), dplyr (>= 0.4.1), plotrix (>= 3.5-12),
        colorspace (>= 1.2-6), RColorBrewer (>= 1.1-2), colorRamps (>=
        2.3)
Repository: https://magosil86.r-universe.dev
Date/Publication: 2021-05-09 04:39:06 UTC
RemoteUrl: https://github.com/magosil86/getspres
RemoteRef: HEAD
RemoteSha: fd919c4aa7eab321c07385ece7ca5a99bdd81384
NeedsCompilation: no
Packaged: 2026-10-16 10:18:22 UTC; root
Author: Lerato E Magosi [aut],
  Jemma C Hopewell [aut],
  Martin Farrall [aut],
  Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>