Tutorial Goals | It's important to check for potential outliers when performing meta-analysis, here's why | Two popular approaches for identifying overly influential outliers | The getspres R package: A two for one bargain in outlier diagnostics! | Let's take a look at some examples: | Data: heartgenes214 | The data was sourced from:
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:
getspres_0.2.0.tar.gz
getspres_0.2.0.zip(r-4.7-any)getspres_0.2.0.zip(r-4.6-any)getspres_0.2.0.zip(r-4.5-any)
getspres_0.2.0.tgz(r-4.6-any)getspres_0.2.0.tgz(r-4.5-any)
getspres_0.2.0.tar.gz(r-4.7-any)getspres_0.2.0.tar.gz(r-4.6-any)
getspres_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
getspres/json (API)
| # 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:
- heartgenes214 - Heartgenes214.
Last updated from:fd919c4aa7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 119 | ||
| source / vignettes | OK | 167 | ||
| linux-release | OK | 131 | ||
| macos-release | OK | 98 | ||
| macos-oldrel | OK | 83 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 59 | ||
| wasm-release | OK | 92 |
Dependencies:clicolorRampscolorspacedigestdplyrgenericsgluelatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigplotrixR6RColorBrewerrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 |