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.

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