Package: aedl 0.1.0
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.
Authors:
aedl_0.1.0.tar.gz
aedl_0.1.0.zip(r-4.7)aedl_0.1.0.zip(r-4.6)aedl_0.1.0.zip(r-4.5)
aedl_0.1.0.tgz(r-4.6-any)aedl_0.1.0.tgz(r-4.5-any)
aedl_0.1.0.tar.gz(r-4.7-any)aedl_0.1.0.tar.gz(r-4.6-any)
aedl_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
aedl/json (API)
| # Install 'aedl' in R: |
| install.packages('aedl', repos = c('https://keisuke-hanada.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a8ebf329c6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 101 | ||
| source / vignettes | OK | 147 | ||
| linux-release-x86_64 | OK | 103 | ||
| macos-release-arm64 | OK | 77 | ||
| macos-oldrel-arm64 | OK | 69 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 55 | ||
| wasm-release | OK | 89 |
Exports:aedlaedl_stat_densityaedl_tau2_density
Dependencies:withr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Almost-exact inference for the DerSimonian-Laird test statistic | aedl |
| Approximate density of the DL test statistic | aedl_stat_density |
| Approximate density of the untruncated DL tau-squared estimator | aedl_tau2_density |
| Confidence interval for an aedl object | confint.aedl |
| Print an aedl object | print.aedl |
