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metacor: Meta-Analytic Effect Size Calculation for Pre-Post Designs withCorrelation Imputation

Tools for the calculation of effect sizes (standardised mean difference) and mean difference in pre-post controlled studies, including robust imputation of missing variances (standard deviation of changes) and correlations (Pearson correlation coefficient). The main function 'metacor_dual()' implements several methods for imputing missing standard deviation of changes or Pearson correlation coefficient, and generates transparent imputation reports. Designed for meta-analyses with incomplete summary statistics. For details on the methods, see Higgins et al. (2023) and Fu et al. (2013).

Version:1.2.1
Depends:R (≥ 3.6)
Imports:stats,officer,stringr
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-12-09
DOI:10.32614/CRAN.package.metacor
Author:Iker J. Bautista [aut, cre], Saul M. Rodriguez [ctb]
Maintainer:Iker J. Bautista <ikerugr at gmail.com>
BugReports:https://github.com/ikerugr/metacor/issues
License:MIT + fileLICENSE
URL:https://github.com/ikerugr/metacor,https://ikerugr.r-universe.dev/metacor
NeedsCompilation:no
Materials:README
In views:MetaAnalysis
CRAN checks:metacor results

Documentation:

Reference manual:metacor.html ,metacor.pdf
Vignettes:Introduction to metacor (source,R code)

Downloads:

Package source: metacor_1.2.1.tar.gz
Windows binaries: r-devel:metacor_1.2.1.zip, r-release:metacor_1.2.1.zip, r-oldrel:metacor_1.2.1.zip
macOS binaries: r-release (arm64):metacor_1.2.1.tgz, r-oldrel (arm64):metacor_1.2.1.tgz, r-release (x86_64):metacor_1.2.1.tgz, r-oldrel (x86_64):metacor_1.2.1.tgz
Old sources: metacor archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=metacorto link to this page.


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