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: 0.2.9 Depends: R (≥ 3.5.0) Imports: lavaan, boot, parallel, pbapply, stats, ggplot2, igraph, MASS, methods Suggests: knitr, rmarkdown, lavaan.mi, Amelia, mice, testthat (≥ 3.0.0) Published: 2025-06-21 DOI: 10.32614/CRAN.package.manymome 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: Linking:Please use the canonical form https://CRAN.R-project.org/package=manymome to link to this page.
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