Plot Empirical Bayes Hyperparameters vs Drift — plot_empirical_bayes_hyperparameters_vs

This function plots the hyperparameters updated using empirical Bayes against the drift for a given method, case study sample size, and control drift option.

Usage

plot_empirical_bayes_hyperparameters_vs_drift(
  results_metrics_df,
  method,
  case_study,
  control_drift,
  xvars,
  source_denominator_change_factor,
  target_to_source_std_ratio,
  parameters_combinations
)

Arguments

results_metrics_df: The data frame containing the results and metrics.
method: The method to plot the parameters for.
case_study: The case study to plot the parameters for.
control_drift: A logical value indicating whether to filter the data based on control drift.
xvars: Variable on the x axis
source_denominator_change_factor: The source denominator change factor of the scenario to keep.
target_to_source_std_ratio: Ratio between the target and source studies sampling standard deviation.
parameters_combinations: The combinations of parameters to filter the results by

Value

None