getspres: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis

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/>.

Version: 0.1.0
Depends: R (≥ 3.1.0)
Imports: metafor (≥ 1.9-6), dplyr (≥ 0.4.1), plotrix (≥ 3.5-12), colorspace (≥ 1.2-6), RColorBrewer (≥ 1.1-2), colorRamps (≥ 2.3)
Suggests: knitr (≥ 1.10.5), testthat
Published: 2019-08-28
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86 at gmail.com>
BugReports: https://github.com/magosil86/getspres/issues
License: MIT + file LICENSE
URL: https://magosil86.github.io/getspres/
NeedsCompilation: no
Citation: getspres citation info
Materials: NEWS
CRAN checks: getspres results

Downloads:

Reference manual: getspres.pdf
Vignettes: getspres: A simple tool to identify overly influential outlier studies in genetic association meta-analyses.
Package source: getspres_0.1.0.tar.gz
Windows binaries: r-devel: getspres_0.1.0.zip, r-release: getspres_0.1.0.zip, r-oldrel: getspres_0.1.0.zip
OS X binaries: r-release: getspres_0.1.0.tgz, r-oldrel: getspres_0.1.0.tgz

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