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/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | getspres_0.2.0.tar.gz |
2.9 MiB |
0.2.0 |
rolling linux/jammy R-4.5 | getspres_0.2.0.tar.gz |
1.2 MiB |
0.2.0 |
latest source/ R- | getspres_0.2.0.tar.gz |
2.9 MiB |
0.2.0 |
latest linux/jammy R-4.5 | getspres_0.2.0.tar.gz |
1.2 MiB |
0.2.0 |
2026-04-23 source/ R- | getspres_0.2.0.tar.gz |
2.9 MiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | getspres_0.2.0.zip |
1.2 MiB |
0.2.0 |
2025-04-20 source/ R- | getspres_0.2.0.tar.gz |
2.9 MiB |
Dependencies (latest)
Imports
- metafor (>= 1.9-6)
- dplyr (>= 0.4.1)
- plotrix (>= 3.5-12)
- colorspace (>= 1.2-6)
- RColorBrewer (>= 1.1-2)
- colorRamps (>= 2.3)