Package: estmeansd 1.0.1

Sean McGrath

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

Implements the methods of McGrath et al. (2020) <doi:10.1177/0962280219889080> and Cai et al. (2021) <doi:10.1177/09622802211047348> 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) <doi:10.1177/09622802221139233> are also included.

Authors:Sean McGrath [aut, cre], XiaoFei Zhao [aut], Russell Steele [aut], Andrea Benedetti [aut]

estmeansd_1.0.1.tar.gz
estmeansd_1.0.1.zip(r-4.7)estmeansd_1.0.1.zip(r-4.6)estmeansd_1.0.1.zip(r-4.5)
estmeansd_1.0.1.tgz(r-4.6-any)estmeansd_1.0.1.tgz(r-4.5-any)
estmeansd_1.0.1.tar.gz(r-4.7-any)estmeansd_1.0.1.tar.gz(r-4.6-any)
estmeansd_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
estmeansd/json (API)
NEWS

# Install 'estmeansd' in R:
install.packages('estmeansd', repos = c('https://stmcg.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stmcg/estmeansd/issues

On CRAN:

Conda:

5.58 score 3 stars 2 packages 66 scripts 6.4k downloads 5 exports 3 dependencies

Last updated from:0d30b5f037. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK110
source / vignettesOK124
linux-release-x86_64OK107
macos-release-arm64OK118
macos-oldrel-arm64OK88
windows-develOK81
windows-releaseOK121
windows-oldrelOK76
wasm-releaseOK89

Exports:bc.mean.sdget_SEmln.mean.sdqe.fitqe.mean.sd

Dependencies:latticeMatrixmetaBLUE