Package: cdmeta 1.1-1

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).

Authors:Hisashi Noma [aut, cre], Guido Schwarzer [aut]