Compute the frequentist power — compute_freq_power

This function computes the power of a test for a pooled analysis at a given significance level

Usage

compute_freq_power_pooling(
  alpha,
  target_data,
  source_data,
  frequentist_test,
  theta_0,
  null_space,
  simulation_config,
  case_study = NULL,
  n_replicates = 1000,
  trials = NULL
)

Arguments

alpha: The significance level.
target_data: Target data object
source_data: Source study data
frequentist_test: Type of frequentist test to apply, either z-test or t-test
theta_0: Boundary of the null hypothesis space
null_space: Side of the null space, either left or right.
simulation_config: Simulation configuration.
case_study: Optional case-study name.
n_replicates: Number of Monte Carlo replicates for non-analytical power calculations.
trials: Optional trials already simulated for this design, with the same seed and n_replicates, as the separate analysis's power reads them. NULL simulates them. Ignored when the power has a closed form.

Value

The power of the test.