Package: metagroup 1.0.2

metagroup: Meaningful Grouping of Studies in Meta-Analysis

Performs meaningful subgrouping in a meta-analysis. This is a two-step process; first, use the iterative grouping functions (e.g., mgbin(), mgcont() ) to partition studies into statistically homogeneous clusters based on their effect size data. Second, use the meaning() function to analyze these new subgroups and understand their composition based on study-level characteristics (e.g., country, setting). This approach helps to uncover hidden structures in meta-analytic data and provide a deeper interpretation of heterogeneity.

Authors:Ahmed Abdelmageed [cre, aut]

metagroup_1.0.2.tar.gz
metagroup_1.0.2.zip(r-4.7-any)metagroup_1.0.2.zip(r-4.6-any)metagroup_1.0.2.zip(r-4.5-any)
metagroup_1.0.2.tgz(r-4.6-any)metagroup_1.0.2.tgz(r-4.5-any)
metagroup_1.0.2.tar.gz(r-4.7-any)metagroup_1.0.2.tar.gz(r-4.6-any)
metagroup_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metagroup/json (API)

# Install 'metagroup' in R:
install.packages('metagroup', repos = c('https://asmpro7.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/asmpro7/metagroup/issues

On CRAN:

Conda:

meta-analysis

2.70 score 1 stars 1 scripts 327 downloads 10 exports 61 dependencies

Last updated from:f4b03bf38a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK137
source / vignettesOK178
linux-releaseOK123
macos-releaseOK181
macos-oldrelOK187
windows-develOK78
windows-releaseOK120
windows-oldrelOK101
wasm-releaseOK97

Exports:%>%meaningmgbinmgcontmgcormggenmgincmgmeanmgpropmgrate

Dependencies:bitbit64bootclicliprCompQuadFormcpp11crayondigestdplyrfarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametabookmetadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangS7scalesstringistringrtibbletidyselecttzdbutf8vctrsviridisLitevroomwithrxml2