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: 0.1.6
Depends: R (≥ 3.5.0)
Imports: lavaan, boot, parallel, pbapply, stats, ggplot2, igraph
Suggests: knitr, rmarkdown, semPlot, semptools, testthat (≥ 3.0.0)
Published: 2022-11-06
Author: Shu Fai Cheung ORCID iD [aut, cre], Sing-Hang Cheung ORCID iD [aut]
Maintainer: Shu Fai Cheung <shufai.cheung at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: manymome citation info
Materials: README NEWS
CRAN checks: manymome results


Reference manual: manymome.pdf
Vignettes: Generating Bootstrap Estimates
Mediation Models with Latent Variables
Mediation Analysis by Multiple Regression
Setting Moderator Levels
Moderated Mediation Analysis by Multiple Regression


Package source: manymome_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): manymome_0.1.6.tgz, r-oldrel (arm64): manymome_0.1.6.tgz, r-release (x86_64): manymome_0.1.6.tgz, r-oldrel (x86_64): manymome_0.1.6.tgz
Old sources: manymome archive


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