Standardized Moderation Effect and Its Confidence Interval R package stdmod version 0.2.14 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. Software Depends: R (>= 4.0.0) Imports: boot, ggplot2, stats, utils, lavaan, manymome, rlang Suggests: testthat, knitr, rmarkdown, visreg, lm.beta Shu Fai Cheung <shufai.cheung@gmail.com> Comprehensive R Archive Network (CRAN) Shu Fai Cheung [aut, cre] (ORCID: <https://orcid.org/0000-0002-9871-9448>), David Weng Ngai Vong [ctb] GPL-3 2026-07-23 application/tgz https://CRAN.R-project.org/package=stdmod doi:10.32614/CRAN.package.stdmod