metacor: Meta-Analytic Effect Size Calculation for Pre-Post Designs with Correlation 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: 1.2.0
Depends: R (≥ 3.6)
Imports: stats, officer, stringr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-09-26
DOI: 10.32614/CRAN.package.metacor (may not be active yet)
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 + file LICENSE
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_1.2.0.tar.gz
Windows binaries: r-devel: metacor_1.1.2.zip, r-release: metacor_1.1.2.zip, r-oldrel: metacor_1.1.2.zip
macOS binaries: r-release (arm64): metacor_1.1.2.tgz, r-oldrel (arm64): metacor_1.1.2.tgz, r-release (x86_64): metacor_1.2.0.tgz, r-oldrel (x86_64): metacor_1.2.0.tgz
Old sources: metacor archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=metacor to link to this page.