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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 ORCID iD [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

Documentation:

Reference manual: aedl.html , aedl.pdf

Downloads:

Package source: aedl_0.1.0.tar.gz
Windows binaries: r-devel: aedl_0.1.0.zip, r-release: aedl_0.1.0.zip, r-oldrel: aedl_0.1.0.zip
macOS binaries: r-release (arm64): aedl_0.1.0.tgz, r-oldrel (arm64): aedl_0.1.0.tgz, r-release (x86_64): aedl_0.1.0.tgz, r-oldrel (x86_64): aedl_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.