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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.

Versions across snapshots

VersionRepositoryFileSize
0.2.12 rolling linux/jammy R-4.5 stdmod_0.2.12.tar.gz 744.0 KiB
0.2.12 rolling linux/noble R-4.5 stdmod_0.2.12.tar.gz 744.1 KiB
0.2.12 rolling source/ R- stdmod_0.2.12.tar.gz 661.2 KiB
0.2.12 latest linux/jammy R-4.5 stdmod_0.2.12.tar.gz 744.0 KiB
0.2.12 latest linux/noble R-4.5 stdmod_0.2.12.tar.gz 744.1 KiB
0.2.12 latest source/ R- stdmod_0.2.12.tar.gz 661.2 KiB
0.2.12 2026-04-26 source/ R- stdmod_0.2.12.tar.gz 661.2 KiB
0.2.12 2026-04-23 source/ R- stdmod_0.2.12.tar.gz 661.2 KiB
0.2.12 2026-04-09 windows/windows R-4.5 stdmod_0.2.12.zip 754.4 KiB
0.2.11 2025-04-20 source/ R- stdmod_0.2.11.tar.gz 2.0 MiB

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