Function to plot metric vs sample size — bayesian_metric_vs_sample

This function plots a metric against the sample size for a given method, case study, and parameters combinations.

Usage

bayesian_metric_vs_sample_size(
  metric,
  input_df,
  case_study,
  method,
  parameters_combinations,
  theta_0 = 0,
  add_baselines = FALSE,
  target_to_source_std_ratio = 1,
  source_denominator_change_factor = 1,
  design_prior = NULL
)

Arguments

metric: The metric to plot.
input_df: The data frame containing the results and metrics.
case_study: The case study to plot the metric for.
method: The method to plot the metric for.
parameters_combinations: The parameter combinations to filter the data on.
theta_0: Boundary of the null hypothesis space.
add_baselines: A logical value indicating whether to add baselines to the plot.
target_to_source_std_ratio: Ratio between the sampling standard deviation in the source study and in the target study.
source_denominator_change_factor: The source denominator change factor of the scenario to keep.
design_prior: Currently unused.

Value

None