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:Keisuke Hanada [aut, cre]

aedl_0.1.0.tar.gz
aedl_0.1.0.zip(r-4.7-any)aedl_0.1.0.zip(r-4.6-any)aedl_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 388 downloads 3 exports 1 dependencies

Last updated from:a8ebf329c6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK173
linux-releaseOK113
macos-releaseOK81
macos-oldrelOK99
windows-develOK58
windows-releaseOK66
windows-oldrelOK63
wasm-releaseOK117

Exports:aedlaedl_stat_densityaedl_tau2_density

Dependencies:withr