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metaBLUE
View on CRAN: Click
here
Download and install metaBLUE package within the R console
Install from CRAN:
install.packages("metaBLUE")
Install from Github:
library("remotes")
install_github("cran/metaBLUE")
Install by package version:
library("remotes")
install_version("metaBLUE", "1.0.0")
Attach the package and use:
library("metaBLUE")
Maintained by
Xin Yang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.metaBLUE . metaBLUE results . metaBLUE.pdf . metaBLUE_1.0.0.tar.gz . metaBLUE_1.0.0.zip . metaBLUE_1.0.0.zip . metaBLUE_1.0.0.zip . metaBLUE_1.0.0.tgz . metaBLUE_1.0.0.tgz . metaBLUE_1.0.0.tgz . metaBLUE_1.0.0.tgz . metaBLUE_1.0.0.tgz . metaBLUE_1.0.0.tgz . https://CRAN.R-project.org/package=metaBLUE .
First Published: 2018-05-29
Latest Update: 2018-05-29
Description:
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) , sample standard deviation estimators by Wan et al. (2014) , 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.
How to cite:
Xin Yang (2018). metaBLUE: BLUE for Combining Location and Scale Information in a Meta-Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/metaBLUE. Accessed 05 Apr. 2025.
Previous versions and publish date:
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Other R packages that metaBLUE depends,
imports, suggests or enhances
Complete documentation for metaBLUE
Functions, R codes and Examples using
the metaBLUE R package
Some associated functions: BLUE_c . BLUE_s . Luo.mean . Wan.std .
Some associated R codes: BLUE.R . Full metaBLUE package functions and examples
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