Package: boutliers 1.1-1
boutliers: Outlier detection and influence diagnostics for meta-analysis
A R package for implementing outlier detection and influence diagnostics for meta-analysis. Bootstrap distributions of the influence statistics are calculated, and the thresholds to determine outliers are clearly provided.
Authors:
boutliers_1.1-1.tar.gz
boutliers_1.1-1.zip(r-4.5)boutliers_1.1-1.zip(r-4.4)boutliers_1.1-1.zip(r-4.3)
boutliers_1.1-1.tgz(r-4.4-any)boutliers_1.1-1.tgz(r-4.3-any)
boutliers_1.1-1.tar.gz(r-4.5-noble)boutliers_1.1-1.tar.gz(r-4.4-noble)
boutliers_1.1-1.tgz(r-4.4-emscripten)boutliers_1.1-1.tgz(r-4.3-emscripten)
boutliers.pdf |boutliers.html✨
boutliers/json (API)
| # Install 'boutliers' in R: |
| install.packages('boutliers', repos = c('https://nomahi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nomahi/boutliers/issues
- PPI - Crocker et al. (2018)'s patient and public involvement (PPI) intervention data
- SMT - Rubinstein et al. (2019)'s chronic low back pain data
- finasteride - A multicenter clinical trial data assessing the treatment effect of finasteride for benign prostatic hyperplasia
Last updated 2 years agofrom:42eb62ff5c. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 06 2024 |
| R-4.5-win | WARNING | Sep 06 2024 |
| R-4.5-linux | WARNING | Sep 06 2024 |
| R-4.4-win | WARNING | Sep 06 2024 |
| R-4.4-mac | WARNING | Sep 06 2024 |
| R-4.3-win | WARNING | Sep 06 2024 |
| R-4.3-mac | WARNING | Sep 06 2024 |
Exports:convert_binconvert_meanLRTLRT_FESTRSTR_FEVRATIO
Dependencies:latticemathjaxrMatrixmetadatmetafornlmenumDerivpbapply
