Porting status

What is currently implemented, by source library for both the shared C++ core library (the faithful port itself) and the R/Python packages (corehydror / corehydropy). “Internal” means the core carries a validated port that the packages use under the hood (or expose only through the analysis functions) but that has no public wrapper of its own yet. Every “Ported” row is validated by test suites which have also been ported and compared to the original C# libraries.

Status as of v0.1.0.

Numerics

The Numerics library is the numerical foundation. The port targets its probability, sampling, and estimation layers; the general-purpose math, machine learning, and data-container layers are out of scope.

Area C++ core Packages Notes
Distributions (univariate, 42 families) Ported Public Distribution / distribution() + density, CDF, quantile, moments, L-moments, fitting (MLE / L-moments / MOM), seeded sampling
Distributions (multivariate) Ported Internal Dirichlet, Multinomial, BivariateEmpirical, MultivariateNormal (Genz MVNDST), MultivariateStudentT
Distributions.Copulas (7 bivariate + estimation) Ported Internal drives bivariate_analysis and coincident_frequency_analysis
Sampling.MCMC (8 samplers + R-hat / ESS) Ported Public mcmc_sample() exposes 7 (Gibbs needs a model-specific proposal); all drive the Bayesian analyses
Sampling (Latin hypercube, Sobol) Ported Public / Internal latin_hypercube() public; Sobol internal
Sampling.Bootstrap Ported (non-pivotal) Public bootstrap_analysis(); the covariance-aware pivotal workflow is a documented omission
Data.Statistics Partial Public / Internal MGBT, Box-Cox, Yeo-Johnson, plotting positions public; descriptive stats / correlation / goodness-of-fit internal; t / Mann-Whitney / KS tests, single Grubbs-Beck, and Jenks breaks not ported
Data (TimeSeries container) Not ported a thin adapter exists for the time-series models; The additional functionality (interpolation, file I/O, USGS download) may be implemented later
Mathematics (linear algebra, special functions, root finding) Ported (as needed) Internal everything the distribution / estimation layers require
Mathematics.Optimization Partial Internal DE, Nelder-Mead, Brent, BFGS, Powell, MLSL ported (the estimators’ needs); PSO, SCE-UA, simulated annealing, augmented Lagrange, multi-start not ported
Mathematics.Integration Not ported except the Genz MVNDST integrator inside MultivariateNormal
MachineLearning (K-Means, random forest, KNN, decision trees, GMM, GLM) Not ported Planned for future release
Functions (link functions) Ported Internal the seven standard links, used by the GMM / Bulletin 17C track
Random Numbers (Mersenne Twister) Ported (bit-exact) Internal the foundation of cross-language reproducibility

RMC-BestFit

RMC-BestFit is the Bayesian estimation and flood-frequency application built on Numerics. Its statistical engine is fully ported; only its WPF desktop shell is out of scope.

Area C++ core Packages Notes
Estimation (MLE, MAP, Bayesian, GMM) Ported Public via the analysis functions and estimation_diagnostics()
Models (data frame, censored data, trends, all model families) Ported Public flood frequency, Bulletin 17C, mixtures, competing risks, point process, AR/MA/ARIMA/ARIMAX, spatial GEV, rating curves, bivariate
Analyses (all orchestrators) Ported Public the 19 analysis functions in each package
Diagnostics (leverage, influence, prior influence, predictive checks) Ported Public estimation_diagnostics(), prior_predictive_check(), posterior_predictive_check()
Report generation Not ported Not a planned porting target
Batch runner / GUI Not ported Not a planned porting target

HEC-FDA

HEC-FDA (flood damage and risk assessment) is planned as the next upstream source, extending corehydro beyond RMC libraries to the Hydrologic Engineering Center. Porting is underway in a separate repo and will be merged eventually.

Area C++ core Packages Notes
All Planned scoping has not started