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stdmod  

Standardized Moderation Effect and Its Confidence Interval
View on CRAN: Click here


Download and install stdmod package within the R console
Install from CRAN:
install.packages("stdmod")

Install from Github:
library("remotes")
install_github("cran/stdmod")

Install by package version:
library("remotes")
install_version("stdmod", "0.2.12")



Attach the package and use:
library("stdmod")
Maintained by
Shu Fai Cheung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-11
Latest Update: 2024-09-22
Description:
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.
How to cite:
Shu Fai Cheung (2022). stdmod: Standardized Moderation Effect and Its Confidence Interval. R package version 0.2.12, https://cran.r-project.org/web/packages/stdmod. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-24 00:40), 0.1.7.1 (2022-05-11 16:40), 0.1.7.4 (2022-08-07 08:10), 0.2.0.0 (2022-09-21 19:10), 0.2.1 (2022-10-09 12:20), 0.2.6 (2023-03-10 12:20), 0.2.7 (2023-03-26 17:10), 0.2.8 (2023-06-24 16:20), 0.2.9 (2023-09-11 16:10), 0.2.10 (2024-02-22 15:10), 0.2.11 (2024-09-22 14:30), 0.2.12 (2026-01-07 22:10), 0.2.13 (2026-05-04 17:00)
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