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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: | 1.1.1 |
| Imports: | officer, stringr, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-07-22 |
| 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 |
| CRAN checks: | metacor results |
| Reference manual: | metacor.html , metacor.pdf |
| Vignettes: |
Introduction to metacor (source, R code) |
| Package source: | metacor_1.1.1.tar.gz |
| Windows binaries: | r-devel: metacor_1.1.1.zip, r-release: metacor_1.1.1.zip, r-oldrel: metacor_1.1.1.zip |
| macOS binaries: | r-release (arm64): metacor_1.1.1.tgz, r-oldrel (arm64): metacor_1.1.1.tgz, r-release (x86_64): metacor_1.1.1.tgz, r-oldrel (x86_64): metacor_1.1.1.tgz |
| Old sources: | metacor archive |
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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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