Package: metacor 1.2.1

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).

Authors:Iker J. Bautista [aut, cre], Saul M. Rodriguez [ctb]

metacor_1.2.1.tar.gz
metacor_1.2.1.zip(r-4.7)metacor_1.2.1.zip(r-4.6)metacor_1.2.1.zip(r-4.5)
metacor_1.2.1.tgz(r-4.6-any)metacor_1.2.1.tgz(r-4.5-any)
metacor_1.2.1.tar.gz(r-4.7-any)metacor_1.2.1.tar.gz(r-4.6-any)
metacor_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
metacor/json (API)

# Install 'metacor' in R:
install.packages('metacor', repos = c('https://ikerugr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ikerugr/metacor/issues

On CRAN:

Conda:

5.51 score 12 scripts 560 downloads 9 mentions 2 exports 32 dependencies

Last updated from:ea0c16a9e8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK209
linux-release-x86_64OK137
macos-release-arm64OK168
macos-oldrel-arm64OK214
windows-develOK124
windows-releaseOK98
windows-oldrelOK90
wasm-releaseOK143

Exports:check_metacor_consistencymetacor_dual

Dependencies:askpassbase64encclicpp11dplyrgenericsgluejsonlitelifecyclemagrittrofficeropensslpillarpkgconfigpurrrR6raggrlangstringistringrsyssystemfontstextshapingtibbletidyrtidyselectutf8uuidvctrswithrxml2zip

Introduction to metacor

Rendered fromintroduccion.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2025-07-15
Started: 2025-07-15