Standardized Moderation Effect and Its Confidence Interval
The 'add1' Method for a 'std_selected' Class Object
Conditional Effect in a 'cond_effect'-Class Object
Standardized Moderation Effect in a 'stdmod_lavaan' Class Object
Conditional Effects
Confidence Intervals for a 'cond_effect' Class Object
Confidence Intervals for a 'std_selected' Class Object
Confidence Intervals for a 'stdmod_lavaan' Class Object
Moderation Effect Plot
Print a 'cond_effect' Class Object
Print Basic Information of a 'std_selected' Class Object
Print a 'stdmod_lavaan' Class Object
Print the Summary of a 'std_selected' Class Object
Standardize Variables in a Regression Model
Standardized Moderation Effect and Its Bootstrap CI in 'lavaan'
stdmod: Standardized Moderation Effect and Its Confidence Interval
Standardized Moderation Effect Given an 'lm' Output
Summary Method for a 'std_selected' Class Object
The 'update' Method for a 'std_selected' Class Object
The 'vcov' Method for a 'std_selected' Class Object
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.