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>).
| Version: | 2.1-3 |
| Imports: | stats, metafor, MASS |
| Published: | 2025-12-07 |
| DOI: | 10.32614/CRAN.package.boutliers |
| Author: | Hisashi Noma [aut, cre], Kazushi Maruo [aut], Masahiko Gosho [aut] |
| Maintainer: | Hisashi Noma <noma at ism.ac.jp> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | AnomalyDetection, MetaAnalysis |
| CRAN checks: | boutliers results |
| Reference manual: | boutliers.html , boutliers.pdf |
| Package source: | boutliers_2.1-3.tar.gz |
| Windows binaries: | r-devel: boutliers_2.1-3.zip, r-release: boutliers_2.1-3.zip, r-oldrel: boutliers_2.1-3.zip |
| macOS binaries: | r-release (arm64): boutliers_2.1-3.tgz, r-oldrel (arm64): boutliers_2.1-3.tgz, r-release (x86_64): boutliers_2.1-3.tgz, r-oldrel (x86_64): boutliers_2.1-3.tgz |
| Old sources: | boutliers archive |
Please use the canonical form https://CRAN.R-project.org/package=boutliers to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.