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.

Version:	0.1.7.4
Depends:	R (≥ 4.0.0)
Imports:	boot, ggplot2, stats
Suggests:	testthat, dplyr, knitr, rmarkdown, lavaan, visreg, lm.beta
Published:	2022-08-07
Author:	Shu Fai Cheung [aut, cre], David Weng Ngai Vong [ctb]
Maintainer:	Shu Fai Cheung <shufai.cheung at gmail.com>
BugReports:	https://github.com/sfcheung/stdmod/issues
License:	GPL-3
URL:	https://sfcheung.github.io/stdmod/
NeedsCompilation:	no
Citation:	stdmod citation info
Materials:	README NEWS
CRAN checks:	stdmod results

Documentation:

Reference manual:	stdmod.pdf
Vignettes:	Conditional Effects by cond_effect() Standardized Moderation Effect by std_selected() Moderation Effects Plots by plotmod() Mean Center and Standardize Selected Variable by std_selected() A Quick Start Guide on Using std_selected() Standardized Moderation Effect in a Path Model by stdmod_lavaan()

Downloads:

Package source:	stdmod_0.1.7.4.tar.gz
Windows binaries:	r-devel: stdmod_0.1.7.4.zip, r-release: stdmod_0.1.7.4.zip, r-oldrel: stdmod_0.1.7.4.zip
macOS binaries:	r-release (arm64): stdmod_0.1.7.4.tgz, r-oldrel (arm64): stdmod_0.1.7.4.tgz, r-release (x86_64): stdmod_0.1.7.4.tgz, r-oldrel (x86_64): stdmod_0.1.7.4.tgz
Old sources:	stdmod archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stdmod to link to this page.