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: 0.2.11
Depends: R (≥ 4.0.0)
Imports: boot, ggplot2, stats, utils, lavaan, manymome, rlang
Published: 2024年09月22日
Author: Shu Fai Cheung ORCID iD [aut, cre], David Weng Ngai Vong [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: stdmod results

Documentation:

Reference manual: stdmod.html , stdmod.pdf

Downloads:

Package source: stdmod_0.2.11.tar.gz
Windows binaries: r-devel: stdmod_0.2.11.zip, r-release: stdmod_0.2.11.zip, r-oldrel: stdmod_0.2.11.zip
macOS binaries: r-release (arm64): stdmod_0.2.11.tgz, r-oldrel (arm64): stdmod_0.2.11.tgz, r-release (x86_64): stdmod_0.2.11.tgz, r-oldrel (x86_64): stdmod_0.2.11.tgz
Old sources: stdmod archive

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