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mars: Meta Analysis and Research Synthesis

Includes functions for conducting univariate and multivariate meta-analysis. This includes the estimation of the asymptotic variance-covariance matrix of effect sizes. For more details see Becker (1992) <doi:10.2307/1165128>, Cooper, Hedges, and Valentine (2019) <doi:10.7758/9781610448864>, and Schmid, Stijnen, and White (2020) <doi:10.1201/9781315119403>.

Version: 0.2.2
Depends: R (≥ 4.2)
Imports: Matrix, corpcor, matrixcalc
Suggests: knitr, rmarkdown, dplyr, testthat (≥ 3.0.0)
Published: 2025-03-27
DOI: 10.32614/CRAN.package.mars
Author: Brandon LeBeau ORCID iD [aut, cre], Ariel M. Aloe [aut], Betsy Jane Becker [ctb], Seohee Park [ctb], Roberto C. Toro Rodriguez [ctb]
Maintainer: Brandon LeBeau <lebebr01+mars at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: mars citation info
Materials: README
CRAN checks: mars results

Documentation:

Reference manual: mars.pdf
Vignettes: Example Chapter Becker Aloe Cheung (source, R code)

Downloads:

Package source: mars_0.2.2.tar.gz
Windows binaries: r-devel: mars_0.2.2.zip, r-release: mars_0.2.2.zip, r-oldrel: mars_0.2.2.zip
macOS binaries: r-devel (arm64): mars_0.2.2.tgz, r-release (arm64): mars_0.2.2.tgz, r-oldrel (arm64): mars_0.2.2.tgz, r-devel (x86_64): mars_0.2.2.tgz, r-release (x86_64): mars_0.2.2.tgz, r-oldrel (x86_64): mars_0.2.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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