About this code

This package includes a series of functions, listed below are the main functioning ones:

• parameter_adjust helps to adjust initial parameters to achieve certain effect size (signal-to-noise ratio) of main effect and covaraite effect.
• generate_SMART generates clustered SMART data based on given parameters for simulation testing.
• solve_SMART does all analysis for clustered SMART data, including effect estimate, working variance model estimate, as well as variance estimator.
• hypothesis_testing does more generalized hypothesis testing using solve_SMART output.
• data_expand duplicates data to make it capable of being analysed in off-the-shelf geepack.

How can a behavioral scientist use this code?

A behavioral scientist can use this code to learn how to analyze Clustered SMART data.