CRAN/E | getspres

getspres

SPRE Statistics for Exploring Heterogeneity in Meta-Analysis

Installation

About

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 .

Citation getspres citation info
magosil86.github.io/getspres/
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.1.0
Published 2021-05-09 1086 days ago
Needs compilation? no
License MIT
License File
CRAN checks getspres results

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Maintainer

Maintainer

Lerato E Magosi

magosil86@gmail.com

Authors

Lerato E Magosi

aut

Jemma C Hopewell

aut

Martin Farrall

aut

Lerato E Magosi

cre

Material

NEWS
Reference manual
Package source

In Views

MetaAnalysis

Vignettes

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

getspres archive

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