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Workflow of `power4test()`

Source: vignettes/articles/power4test_workflow.Rmd
power4test_workflow.Rmd

Goal

This technical appendix describes the workflow of power4test() in power4mome.

From Population to Power (power4test())

The main function power4test() can do all these tasks in one call:

  • Generate nrep datasets (nrep replications) based on a population model and values of the population parameters (“effect sizes”) (conducted by sim_data()).

  • Fit one or more models to each of the datasets (conducted by fit_model()).

  • (Optional) Generate Monte Carlo or bootstrap estimates based on the fitted model(s), for doing tests by methods such as Monte Carlo or bootstrap confidence intervals (conducted by gen_mc() and gen_boot()).

  • (Optional) Do one or more tests on each of the model fit results (conducted by do_test()).

  • Return a power4test() object.

Power can then be estimated for each of the conducted tests by functions such as rejection_rates().

The following is the workflow:

From Population to Power