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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 (may not be active yet) |
| Author: | Keisuke Hanada |
| 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 |
| Reference manual: | aedl.html , aedl.pdf |
| Package source: | aedl_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: aedl_0.1.0.zip, r-oldrel: not available |
| 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 |
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