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 more details on the methods, see Higgins et al. (2023) and Fu et al. (2013).

Version:	1.1.2
Imports:	officer, stringr, stats
Suggests:	knitr, rmarkdown
Published:	2025-07-28
DOI:	10.32614/CRAN.package.metacor
Author:	Iker J. Bautista [aut, cre], Saul M. Rodriguez [ctb]
Maintainer:	Iker J. Bautista <ikerugr at gmail.com>
License:	MIT + file LICENSE
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_1.1.2.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_1.1.2.tgz, r-oldrel (x86_64): metacor_1.1.2.tgz
Old sources:	metacor archive

Linking:

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