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. 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: |
0.1.12 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
lavaan, boot, parallel, pbapply, stats, ggplot2, igraph, MASS, methods |
| Suggests: |
knitr, rmarkdown, semPlot, semptools, semTools, Amelia, mice, testthat (≥ 3.0.0) |
| Published: |
2023-08-21 |
| Author: |
Shu Fai Cheung 
[aut, cre],
Sing-Hang Cheung
[aut] |
| 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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