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.

Version:	0.1.0
Imports:	stats, withr
Suggests:	testthat (≥ 3.0.0), metadat
Published:	2026-05-27
DOI:	10.32614/CRAN.package.aedl
Author:	Keisuke Hanada [aut, cre]
Maintainer:	Keisuke Hanada <keisuke.hanada.87 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	aedl citation info
Materials:	README
CRAN checks:	aedl results

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