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) . 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/>.


Reference manual

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0.2.0 by Lerato E Magosi, 7 months ago


Report a bug at https://github.com/magosil86/getspres/issues

Browse source code at https://github.com/cran/getspres

Authors: Lerato E Magosi [aut] , Jemma C Hopewell [aut] , Martin Farrall [aut] , Lerato E Magosi [cre]

Documentation:   PDF Manual  

Task views: Meta-Analysis

MIT + file LICENSE license

Imports metafor, dplyr, plotrix, colorspace, RColorBrewer, colorRamps

Suggests knitr, testthat, covr, rmarkdown

See at CRAN