Description
Outlier Detection and Influence Diagnostics for Meta-Analysis.
Description
Computational tools for outlier detection and influence diagnostics of meta-analysis. Bootstrap distributions of the influence statistics are calculated, and the thresholds to determine outliers are explicitly provided.
README.md
boutliers package
Outlier detection and influence diagnostics for meta-analysis
A R package for implementing outlier detection and influence diagnostics for meta-analysis:
- Studentized residuals by leave-one-out analysis
- Likelihood ratio test using a mean-shifted model
- The VRATIO statistic (relative change of the variance of the overall estimator) by leave-one-out analysis
- The TAU2RATIO statistic (relative change of the heterogeneity variance) by leave-one-out analysis
Bootstrap distributions of the influence statistics are calculated by simple codes, and the thresholds to determine outliers are clearly provided.
Installation
# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("nomahi/boutliers")
Downloads: please see the release page.