metaBLUE: BLUE for Combining Location and Scale Information in a Meta-Analysis

The sample mean and standard deviation are two commonly used statistics in meta-analyses, but some trials use other summary statistics such as the median and quartiles to report the results. Therefore, researchers need to transform those information back to the sample mean and standard deviation. This package implemented sample mean estimators by Luo et al. (2016) <doi:10.48550/arXiv.1505.05687>, sample standard deviation estimators by Wan et al. (2014) <doi:10.48550/arXiv.1407.8038>, and the best linear unbiased estimators (BLUEs) of location and scale parameters by Yang et al. (2018, submitted) based on sample quantiles derived summaries in a meta-analysis.

Version: 1.0.0
Depends: R (≥ 3.3)
Imports: stats, Matrix
Published: 2018-05-29
DOI: 10.32614/CRAN.package.metaBLUE
Author: Xin Yang [cre, aut], Alan Hutson [aut], Dongliang Wang [aut]
Maintainer: Xin Yang <xyang.krystal at>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: metaBLUE results


Reference manual: metaBLUE.pdf


Package source: metaBLUE_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metaBLUE_1.0.0.tgz, r-oldrel (arm64): metaBLUE_1.0.0.tgz, r-release (x86_64): metaBLUE_1.0.0.tgz, r-oldrel (x86_64): metaBLUE_1.0.0.tgz

Reverse dependencies:

Reverse imports: estmeansd, metamedian
Reverse suggests: metafor


Please use the canonical form to link to this page.