Generate a table of posterior parameters vs drift — table_posterior_parameters_vs

This function creates tables comparing posterior parameters to drift for a given method, case study, and sample size.

Usage

table_posterior_parameters_vs_drift(
  results_metrics_df,
  method,
  case_study,
  target_sample_size_per_arm,
  control_drift,
  xvars,
  source_denominator_change_factor,
  target_to_source_std_ratio
)

Arguments

results_metrics_df: A data frame containing the results metrics.
method: The method to filter the results by.
case_study: The case study to filter the results by.
target_sample_size_per_arm: The target sample size per arm to filter the results by.
control_drift: A logical value indicating whether to control for drift.
xvars: A list containing the x-variable configurations.
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.

Value

This function does not return a value. It creates and saves tables in HTML, PDF, and LaTeX formats.