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Compares multiple FB4 simulation results across different scenarios, parameters, or methods. Useful for comparing alternative models or experimental conditions.

Usage

compare_scenarios(
  result_list,
  metrics = c("consumption", "growth", "efficiency"),
  confidence_level = 0.95
)

Arguments

result_list

Named list of FB4 result objects

metrics

Vector of metrics to compare

confidence_level

Confidence level for comparisons

Value

List with comparative analysis

Examples

if (FALSE) { # \dontrun{
# Compare different fitting methods
results <- list(
  mle = mle_result,
  hierarchical = hierarchical_result,
  binary_search = binary_result
)
comparison <- compare_scenarios(results)
} # }