Outlier Detection and Influence Diagnostics for Meta-Analysis R package boutliers version 2.1-3 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) Computational tools for outlier detection and influence diagnostics in meta-analysis (Noma et al. (2025) <doi:10.1101/2025.09.18.25336125>). Bootstrap distributions of influence statistics are computed, and explicit thresholds for identifying outliers are provided. These methods can also be applied to the analysis of influential centers or regions in multicenter or multiregional clinical trials (Aoki, Noma and Gosho (2021) <doi:10.1080/24709360.2021.1921944>, Nakamura and Noma (2021) <doi:10.5691/jjb.41.117>). Software Imports: stats, metafor, MASS Hisashi Noma <noma@ism.ac.jp> Comprehensive R Archive Network (CRAN) Hisashi Noma [aut, cre], Kazushi Maruo [aut], Masahiko Gosho [aut] GPL-3 2025-12-07 application/tgz https://CRAN.R-project.org/package=boutliers doi:10.32614/CRAN.package.boutliers