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estmeansd
View on CRAN: Click
here
Download and install estmeansd package within the R console
Install from CRAN:
install.packages("estmeansd")
Install from Github:
library("remotes")
install_github("cran/estmeansd") Install by package version:
library("remotes")
install_version("estmeansd", "1.0.1") Attach the package and use:
library("estmeansd")
Maintained by
Sean McGrath
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-11
Latest Update: 2023-12-14
Description:
Implements the methods of McGrath et al. (2020)
and Cai et al. (2021)
for estimating the sample mean and standard
deviation from commonly reported quantiles in meta-analysis. These methods
can be applied to studies that report the sample median, sample size, and
one or both of (i) the sample minimum and maximum values and (ii) the first
and third quartiles. The corresponding standard error estimators described
by McGrath et al. (2023) are also included.
How to cite:
Sean McGrath (2019). estmeansd: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/estmeansd. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Other R packages that estmeansd depends,
imports, suggests or enhances
Complete documentation for estmeansd
Functions, R codes and Examples using
the estmeansd R package
Some associated functions: bc.mean.sd . get_SE.bc.mean.sd . get_SE.mln.mean.sd . get_SE . get_SE.qe.mean.sd . mln.mean.sd . plot.qe.fit . print.bc.mean.sd . print.mln.mean.sd . print.qe.fit . print.qe.mean.sd . qe.fit . qe.mean.sd . summary.qe.mean.sd .
Some associated R codes: bc.helper.functions.R . bc.mean.sd.R . boot.R . check_errors.R . get.scenario.R . mln.mean.sd.R . plot.qe.fit.R . print.bc.mean.sd.R . print.mln.mean.sd.R . print.qe.fit.R . print.qe.mean.sd.R . qe.fit.R . qe.helper.functions.R . qe.mean.sd.R . summary.qe.mean.sd.R . Full estmeansd package functions and examples
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