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.
- Version0.2.11
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- stdmod citation info
- Last release09/22/2024
Documentation
- VignetteConditional Effects by cond_effect()
- VignetteStandardized Moderation Effect by std_selected()
- VignetteModeration Effects Plots by plotmod()
- VignetteMean Center and Standardize Selected Variable by std_selected()
- VignetteA Quick Start Guide on Using std_selected()
- VignetteStandardized Moderation Effect in a Path Model by stdmod_lavaan()
- MaterialREADME
- MaterialNEWS
Team
Shu Fai Cheung
MaintainerShow author detailsDavid Weng Ngai Vong
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 333 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
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Last 365 days
This package has been downloaded 5,503 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 21, 2024 with 76 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports5 packages
- Suggests5 packages