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aedl  

Almost-Exact Inference for the DerSimonian-Laird Test Statistic
View on CRAN: Click here


Download and install aedl package within the R console
Install from CRAN:
install.packages("aedl")

Install from Github:
library("remotes")
install_github("cran/aedl")

Install by package version:
library("remotes")
install_version("aedl", "0.1.0")



Attach the package and use:
library("aedl")
Maintained by
Keisuke Hanada
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-27
Latest Update: 2026-05-27
Description:
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.
How to cite:
Keisuke Hanada (2026). aedl: Almost-Exact Inference for the DerSimonian-Laird Test Statistic. R package version 0.1.0, https://cran.r-project.org/web/packages/aedl. Accessed 12 Sep. 2026.
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