Almost-Exact Inference for the DerSimonian-Laird Test Statistic R package aedl version 0.1.0 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. Software Imports: stats, withr Suggests: testthat (>= 3.0.0), metadat Keisuke Hanada <keisuke.hanada.87@gmail.com> Comprehensive R Archive Network (CRAN) Keisuke Hanada [aut, cre] (ORCID: <https://orcid.org/0000-0002-1444-0280>) MIT + file LICENSE (https://CRAN.R-project.org/package=aedl/LICENSE) 2026-05-27 application/tgz https://CRAN.R-project.org/package=aedl doi:10.32614/CRAN.package.aedl