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)
NeedsCompilation: no
Packaged: 2021-05-09 05:03:54 UTC; lmagosi
Author: Lerato E Magosi [aut],
  Jemma C Hopewell [aut],
  Martin Farrall [aut],
  Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-09 05:30:03 UTC
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