wsMed: Within-Subject Mediation Analysis Using Structural Equation Modeling

Within-subject mediation analysis using structural equation modeling. Examine how changes in an outcome variable between two conditions are mediated through one or more variables. Supports within-subject mediation analysis using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>, and extends Monte Carlo confidence interval estimation to missing data scenarios using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.

Version: 1.0.2
Depends: R (≥ 4.1.0)
Imports: knitr, lavaan, semmcci, mice, semboottools, MASS, rlang, dplyr, ggplot2, methods, stats
Suggests: rmarkdown, devtools, testthat
Published: 2025-12-11
DOI: 10.32614/CRAN.package.wsMed (may not be active yet)
Author: Wendie Yang ORCID iD [aut, cre], Shu Fai Cheung ORCID iD [aut]
Maintainer: Wendie Yang <1581075494q at gmail.com>
BugReports: https://github.com/Yangzhen1999/wsMed/issues
License: GPL (≥ 3)
URL: https://yangzhen1999.github.io/wsMed/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: wsMed results

Documentation:

Reference manual: wsMed.html , wsMed.pdf
Vignettes: GenerateModelCN (source)
GenerateModelCP (source)
GenerateModelP (source)
GenerateModelPC (source)
MEMORE_vs_wsMed (source)
wsMed (source)
Demonstration of printGM() (source)

Downloads:

Package source: wsMed_1.0.2.tar.gz
Windows binaries: r-devel: wsMed_1.0.2.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): wsMed_1.0.2.tgz, r-oldrel (arm64): wsMed_1.0.2.tgz, r-release (x86_64): wsMed_1.0.2.tgz, r-oldrel (x86_64): wsMed_1.0.2.tgz

Linking:

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