stdmod-package: stdmod: Standardized Moderation Effect and Its Confidence...
In stdmod: Standardized Moderation Effect and Its Confidence Interval

stdmod-package

R Documentation

stdmod: Standardized Moderation Effect and Its Confidence Interval

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/hea0001188")}. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.

Author(s)

Maintainer: Shu Fai Cheung shufai.cheung@gmail.com (ORCID)

Other contributors:

David Weng Ngai Vong [contributor]

See Also

Useful links:

https://sfcheung.github.io/stdmod/
Report bugs at https://github.com/sfcheung/stdmod/issues

stdmod documentation built on Sept. 30, 2024, 9:42 a.m.

stdmod index

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()

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