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stdmod: Standardized Moderation Effect and Its Confidence Interval
Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.
Getting started
Package overview
README.md
A Quick Start Guide on Using std_selected()
Conditional Effects by cond_effect()
Mean Center and Standardize Selected Variable by std_selected()
Moderation Effects Plots by plotmod()
Standardized Moderation Effect by std_selected()
Standardized Moderation Effect in a Path Model by stdmod_lavaan()
Browse package contents
Package details |
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| Author | Shu Fai Cheung [aut, cre] (<https://orcid.org/0000-0002-9871-9448>), David Weng Ngai Vong [ctb] |
| Maintainer | Shu Fai Cheung <shufai.cheung@gmail.com> |
| License | GPL-3 |
| Version | 0.2.11 |
| URL | https://sfcheung.github.io/stdmod/ |
| Package repository | View on CRAN |
| Installation |
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