estmeansd: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis

Implements the methods of McGrath et al. (2019) <arXiv:1903.10498> 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.

Version: 0.2.0
Imports: graphics, grDevices, metaBLUE, stats
Published: 2019-03-26
Author: Sean McGrath ORCID iD [aut, cre], XiaoFei Zhao [aut], Russell Steele [aut], Andrea Benedetti ORCID iD [aut]
Maintainer: Sean McGrath <sean.mcgrath at mail.mcgill.ca>
BugReports: https://github.com/stmcg/estmeansd/issues
License: GPL (≥ 3)
URL: https://github.com/stmcg/estmeansd
NeedsCompilation: no
Materials: README NEWS
CRAN checks: estmeansd results

Downloads:

Reference manual: estmeansd.pdf
Package source: estmeansd_0.2.0.tar.gz
Windows binaries: r-devel: estmeansd_0.2.0.zip, r-release: estmeansd_0.2.0.zip, r-oldrel: estmeansd_0.2.0.zip
OS X binaries: r-release: estmeansd_0.2.0.tgz, r-oldrel: estmeansd_0.2.0.tgz
Old sources: estmeansd archive

Reverse dependencies:

Reverse imports: metamedian

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