stdmod: Standardized Moderation Effect and Its Confidence Interval (original) (raw)
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 |
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Depends: | R (≥ 4.0.0) |
Imports: | boot, ggplot2, stats, utils, lavaan, manymome, rlang |
Suggests: | testthat, knitr, rmarkdown, visreg, lm.beta |
Published: | 2024-09-22 |
DOI: | 10.32614/CRAN.package.stdmod |
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:
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