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: | 0.1.1 |
| 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, covr |
| Published: | 2020-03-31 |
| 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 |
| In views: | MetaAnalysis |
| CRAN checks: | getspres results |
| Reference manual: | getspres.pdf |
| Vignettes: |
getspres: A simple tool to identify overly influential outlier studies in genetic association meta-analyses. |
| Package source: | getspres_0.1.1.tar.gz |
| Windows binaries: | r-devel: getspres_0.1.1.zip, r-release: getspres_0.1.1.zip, r-oldrel: getspres_0.1.1.zip |
| macOS binaries: | r-release: getspres_0.1.1.tgz, r-oldrel: getspres_0.1.1.tgz |
| Old sources: | getspres archive |
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