Almost-Exact Inference for the DerSimonian-Laird Test Statistic
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-05-28
Documentation
- Help pages
- 12 (7 internal)includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
- 0.1.0Latestfirst seen 2026-05-27 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First seen
- 2026-05-27
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 13 KB
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It points to 10.1007/s10463-022-00844-4.
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