Confidence-Distribution-Based Inference for Random-Effects Meta-Analysis R package cdmeta version 1.1-1 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>. Software Depends: R (>= 3.5.0) Imports: stats, graphics, pimeta (>= 1.1.3) Suggests: metafor Hisashi Noma <noma@ism.ac.jp> Comprehensive R Archive Network (CRAN) Hisashi Noma [aut, cre] (ORCID: <https://orcid.org/0000-0002-2520-9949>), Guido Schwarzer [aut] (ORCID: <https://orcid.org/0000-0001-6214-9087>) GPL-3 2026-09-15 application/tgz https://CRAN.R-project.org/package=cdmeta doi:10.32614/CRAN.package.cdmeta