manymome: Mediation, Moderation and Moderated-Mediation After Model
Fitting
Computes indirect effects, conditional effects, and conditional
indirect effects in a structural equation model or path model after model
fitting, with no need to define any user parameters or label any paths in
the model syntax, using the approach presented in Cheung and Cheung
(2024) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap
confidence intervals by doing bootstrapping only once and reusing the
bootstrap estimates in all subsequent computations. Supports bootstrap
confidence intervals for standardized (partially or completely) indirect
effects, conditional effects, and conditional indirect effects as described
in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui,
and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by
structural equation modeling using lavaan() or regression using lm().
| Version: |
0.3.6 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
lavaan, boot, parallel, pbapply, stats, ggplot2, igraph, MASS, methods, lmhelprs, psych, semTools (≥ 0.5-8) |
| Suggests: |
knitr, rmarkdown, lavaan.mi, Amelia, mice, semPlot, semptools (≥ 0.3.2), testthat (≥ 3.0.0) |
| Published: |
2026-06-08 |
| DOI: |
10.32614/CRAN.package.manymome |
| Author: |
Shu Fai Cheung 
[aut, cre],
Sing-Hang Cheung
[aut],
Rong Wei Sun
[ctb] |
| Maintainer: |
Shu Fai Cheung <shufai.cheung at gmail.com> |
| BugReports: |
https://github.com/sfcheung/manymome/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://sfcheung.github.io/manymome/ |
| NeedsCompilation: |
no |
| Citation: |
manymome citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
manymome results |
Documentation:
Downloads:
Reverse dependencies:
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