caoqianming 0c06d51c4a Add Monte Carlo (MCM) acceptance evaluation ... 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>		2026-06-08 15:14:27 +08:00
docs/superpowers	Initial commit	2026-05-15 13:50:27 +08:00
src	Add Monte Carlo (MCM) acceptance evaluation	2026-06-08 15:14:27 +08:00
src-tauri	Initial commit	2026-05-15 13:50:27 +08:00
tests	Add Monte Carlo (MCM) acceptance evaluation	2026-06-08 15:14:27 +08:00
ui	Add Monte Carlo (MCM) acceptance evaluation	2026-06-08 15:14:27 +08:00
.gitignore	Initial commit	2026-05-15 13:50:27 +08:00
Cargo.lock	Initial commit	2026-05-15 13:50:27 +08:00
Cargo.toml	Initial commit	2026-05-15 13:50:27 +08:00
cl.ps1	Initial commit	2026-05-15 13:50:27 +08:00
col.ps1	Initial commit	2026-05-15 13:50:27 +08:00
package-lock.json	Initial commit	2026-05-15 13:50:27 +08:00
package.json	Initial commit	2026-05-15 13:50:27 +08:00
run.md	Add Monte Carlo (MCM) acceptance evaluation	2026-06-08 15:14:27 +08:00