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RMC-BestFit

RMC-BestFit is a state-of-the-art Bayesian estimation and fitting software developed collaboratively by the USACE-RMC and ERDC-CHL.

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Data offered docs-verified: Bayesian flood-frequency analysis · distribution fitting · uncertainty quantification · rating curves · bivariate and coincident frequency analysis · time-series modeling (ARIMA, ARIMAX) · Bulletin 17C Log-Pearson Type III analysis · spatial extremes
Formats docs-verified: JSON · .bestfit project files · NuGet package (.NET library) · MCP
Access docs-verified: Free and open-source, Zero-Clause BSD (0BSD) licence; model library installed locally from NuGet (RMC.BestFit 2.0.1) or built from source

Use cases llm-inferred: Bayesian flood-frequency analysis of gauged annual maxima using Bulletin 17C and Bayesian workflows · Stage-discharge rating curve development with Bayesian piecewise power-law fits · Nonstationary flood-frequency analysis for urban watersheds via ARIMAX or regression with autocorrelated residuals · Joint flood-frequency analysis of flow and stage using copula-based bivariate and coincident frequency analysis
Audience llm-inferred: hydrologists · flood risk consultants · water resources engineers · drainage engineers · GIS analysts

Constraints docs-verified: Desktop application is Windows 10+ only (WPF) · HEC-DSS still resolves through explicit local binary/native references during migration · Public CI covers only the portable model-library path; packaging for the broader desktop stack is still being finalised · Verification materials for the longer-running numerical verification are being prepared separately for public release · Version 2.0 is recent; ongoing bug fixes and minor enhancements are expected · MCP tool names are not documented in DOCS; the ENTRY tool names are project names, not callable tools

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)