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)