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.
- Version0.2.11
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- stdmod citation info
- Last release09/22/2024
Documentation
- VignetteConditional Effects by cond_effect()
- VignetteStandardized Moderation Effect by std_selected()
- VignetteModeration Effects Plots by plotmod()
- VignetteMean Center and Standardize Selected Variable by std_selected()
- VignetteA Quick Start Guide on Using std_selected()
- VignetteStandardized Moderation Effect in a Path Model by stdmod_lavaan()
- MaterialREADME
- MaterialNEWS
Team
Shu Fai Cheung
David Weng Ngai Vong
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- Imports5 packages
- Suggests5 packages