cdmeta: Confidence-Distribution-Based Inference for Random-Effects Meta-Analysis

Computational tools for confidence-distribution-propagation-based inference in random-effects meta-analysis. Implements confidence-distribution propagation for frequentist inference in random-effects meta-analysis. The package samples the between-study variance from a confidence distribution based on the exact distribution of Cochran's Q, samples the average effect conditionally on each draw, and generates the true effect in a future study. It provides prediction intervals and confidence intervals for the average effect, between-study variance, between-study standard deviation, and I2. The methods are described in Noma and Schwarzer (2026) <doi:10.48550/arXiv.2608.26527>.

Version:	1.1-1
Depends:	R (≥ 3.5.0)
Imports:	stats, graphics, pimeta (≥ 1.1.3)
Suggests:	metafor
Published:	2026-09-15
DOI:	10.32614/CRAN.package.cdmeta (may not be active yet)
Author:	Hisashi Noma [aut, cre], Guido Schwarzer [aut]
Maintainer:	Hisashi Noma <noma at ism.ac.jp>
BugReports:	https://github.com/guido-s/cdmeta/issues
License:	GPL-3
URL:	https://github.com/guido-s/cdmeta
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	cdmeta results

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