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: 0.2.0 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, covr, rmarkdown Published: 2021-05-09 DOI: 10.32614/CRAN.package.getspres 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=getspres to link to this page.
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