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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1-1 |
rolling linux/jammy R-4.5 | cdmeta_1.1-1.tar.gz |
88.0 KiB |
1.1-1 |
rolling linux/noble R-4.5 | cdmeta_1.1-1.tar.gz |
87.9 KiB |
1.1-1 |
rolling source/ R- | cdmeta_1.1-1.tar.gz |
20.0 KiB |
1.1-1 |
latest linux/jammy R-4.5 | cdmeta_1.1-1.tar.gz |
88.0 KiB |
1.1-1 |
latest linux/noble R-4.5 | cdmeta_1.1-1.tar.gz |
87.9 KiB |
1.1-1 |
latest source/ R- | cdmeta_1.1-1.tar.gz |
20.0 KiB |
1.1-1 |
2026-04-23 source/ R- | cdmeta_1.1-1.tar.gz |
0 B |