aedl
Almost-Exact Inference for the DerSimonian-Laird Test Statistic
Implements almost-exact inference for the DerSimonian-Laird test statistic in the normal-normal random-effects meta-analysis model, as described in Hanada and Sugimoto (2023) <doi:10.1007/s10463-022-00844-4>. The method approximates the distribution of the DerSimonian-Laird test statistic by combining the distribution of the untruncated DerSimonian-Laird estimator of the between-study variance with a conditional normal approximation. Methods based on a plug-in between-study variance and a corrected heterogeneity measure are provided.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | aedl_0.1.0.tar.gz |
59.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | aedl_0.1.0.tar.gz |
58.9 KiB |
0.1.0 |
rolling source/ R- | aedl_0.1.0.tar.gz |
12.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | aedl_0.1.0.tar.gz |
59.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | aedl_0.1.0.tar.gz |
58.9 KiB |
0.1.0 |
latest source/ R- | aedl_0.1.0.tar.gz |
12.6 KiB |
0.1.0 |
2026-04-23 source/ R- | aedl_0.1.0.tar.gz |
0 B |