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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 |
DOI: | 10.32614/CRAN.package.stdmod |
Author: | Shu Fai Cheung |
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 |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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