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/.
- Version0.2.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- getspres citation info
- Last release05/09/2021
Documentation
Team
Lerato E Magosi
Jemma C Hopewell
Show author detailsRolesAuthorMartin Farrall
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 157 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,238 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 29 downloads.
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Dependencies
- Imports6 packages
- Suggests4 packages