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:	0.2.10
Depends:	R (≥ 4.0.0)
Imports:	boot, ggplot2, stats, utils, lavaan, manymome, rlang
Suggests:	testthat, knitr, rmarkdown, visreg, lm.beta
Published:	2024-02-22
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_0.2.10.tar.gz
Windows binaries:	r-devel: stdmod_0.2.10.zip, r-release: stdmod_0.2.10.zip, r-oldrel: stdmod_0.2.10.zip
macOS binaries:	r-release (arm64): stdmod_0.2.10.tgz, r-oldrel (arm64): stdmod_0.2.10.tgz, r-release (x86_64): stdmod_0.2.10.tgz, r-oldrel (x86_64): stdmod_0.2.10.tgz
Old sources:	stdmod archive

Linking:

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