Construct the advanced-model validation grid — advanced_validation

By default this returns a one-factor-at-a-time screening design around a declared reference scenario. This preserves every factor and level from the research programme without accidentally launching hundreds of thousands of Monte Carlo scenarios. Set `full_factorial = TRUE` only when the computing plan explicitly supports the complete Cartesian design.

Usage

advanced_validation_grid(quick = FALSE, full_factorial = FALSE)

Arguments

quick: Whether to return a compact smoke-test design.
full_factorial: Whether to return the complete Cartesian design.

Value

A scenario data frame for `run_model_validation()` or custom Monte Carlo programmes.