Package: getspres 0.2.0

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/>.

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

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Bug tracker:https://github.com/magosil86/getspres/issues

On CRAN:

2 exports 0.62 score 28 dependencies 8 scripts 172 downloads

Last updated 3 years agofrom:fd919c4aa7. Checks:OK: 7. Indexed: yes.

Exports:getspresplotspres

Dependencies:clicolorRampscolorspacedplyrfansigenericsgluelatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigplotrixR6RColorBrewerrlangtibbletidyselectutf8vctrswithr