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robustmeta

Robust Inference for Meta-Analysis with Influential Outlying Studies

v1.2-1 · Nov 7, 2023 · GPL-3

Description

Robust inference methods for fixed-effect and random-effects models of meta-analysis are implementable. The robust methods are developed using the density power divergence that is a robust estimating criterion developed in machine learning theory, and can effectively circumvent biases and misleading results caused by influential outliers. The density power divergence is originally introduced by Basu et al. (1998) <doi:10.1093/biomet/85.3.549>, and the meta-analysis methods are developed by Noma et al. (2022) <forthcoming>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

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Dependencies Reverse dependencies metafor robustmeta

Version History

new 1.2-1 Mar 9, 2026