Add a 10000-iteration Monte Carlo simulation on top of the existing
GUM uncertainty path. For IRa and Ir it reports the simulated mean,
standard deviation, P2.5/P97.5 (95% coverage interval), and pass/fail
probability against configurable standard values (default IRa/Ir <= 1.0).
- src/mcm.rs: dependency-free SplitMix64 PRNG + Box-Muller normals,
deterministic seed for reproducible results
- domain: AcceptanceLimits, McmResult, McmIndexStats; wire into
SampleInput/CalculationResult
- UI: compact calibration table, standard-value inputs, side-by-side
GUM/MCM result cards, and a placeholder before calculation
- run.md: run and packaging instructions
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
