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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getspres.pdf |getspres.html✨
getspres/json (API)
NEWS

# Install 'getspres' in R:
install.packages('getspres', repos = c('https://magosil86.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

On CRAN:

Conda:

3.70 score 9 scripts 186 downloads 2 exports 29 dependencies

Last updated 4 years agofrom:fd919c4aa7. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-winOKFeb 22 2025
R-4.5-macOKFeb 22 2025
R-4.5-linuxOKFeb 22 2025
R-4.4-winOKFeb 22 2025
R-4.4-macOKFeb 22 2025
R-4.3-winOKFeb 22 2025
R-4.3-macOKFeb 22 2025

Exports:getspresplotspres

Dependencies:clicolorRampscolorspacedigestdplyrfansigenericsgluelatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigplotrixR6RColorBrewerrlangtibbletidyselectutf8vctrswithr

getspres: A simple tool to identify overly influential outlier studies in genetic association meta-analyses.

Lerato E. Magosi

Rendered fromgetspres-tutorial.Rmdusingknitr::rmarkdownon Feb 22 2025.

Last update: 2019-08-26
Started: 2019-08-04

Readme and manuals

Help Manual

Help pageTopics
Exploring Heterogeneity in Meta-Analysis with _SPRE_ Statistics.getspre getspres getspres.default spre spres
heartgenes214.heartgenes214
'plotspres' generates forest plots showing _SPRE_ statistics.forestspre plotspre plotspres plotspres.default spreforest