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]

getspres_0.2.0.tar.gz
getspres_0.2.0.zip(r-4.5)getspres_0.2.0.zip(r-4.4)getspres_0.2.0.zip(r-4.3)
getspres_0.2.0.tgz(r-4.4-any)getspres_0.2.0.tgz(r-4.3-any)
getspres_0.2.0.tar.gz(r-4.5-noble)getspres_0.2.0.tar.gz(r-4.4-noble)
getspres_0.2.0.tgz(r-4.4-emscripten)getspres_0.2.0.tgz(r-4.3-emscripten)
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'))

Peer review:

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

Datasets:

On CRAN:

3.70 score 8 scripts 144 downloads 2 exports 28 dependencies

Last updated 4 years agofrom:fd919c4aa7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:getspresplotspres

Dependencies:clicolorRampscolorspacedplyrfansigenericsgluelatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigplotrixR6RColorBrewerrlangtibbletidyselectutf8vctrswithr

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

Rendered fromgetspres-tutorial.Rmdusingknitr::rmarkdownon Oct 25 2024.

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