README.md
In boutliers: Outlier Detection and Influence Diagnostics for Meta-Analysis

boutliers package

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.

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("nomahi/boutliers")

Any scripts or data that you put into this service are public.

boutliers documentation built on May 31, 2023, 7:38 p.m.

Note that we can't provide technical support on individual packages. You should contact the package authors for that.