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Comparison · Infra & APIs
bkmrhat vs HydroPortailStats
A side-by-side editorial comparison of bkmrhat and HydroPortailStats — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:bayesian-statisticsr-package
bkmrhat vs HydroPortailStats: at a glance
What is bkmrhat?
A parallel-chain helper for bkmr that has settled into pure upkeep.
bkmrhat wraps Bayesian kernel machine regression (bkmr) so users can run and diagnose multiple MCMC chains in parallel, then combine or continue them. The functional surface has been stable since 2022, when chain-combining picked up a low-memory path and a seed-collision bug was corrected. The most recent release adds only diagnostic metadata to the package description.
What is HydroPortailStats?
France's national flood statistics, ported out of Fortran and into R.
HydroPortailStats exposes the statistical machinery behind the French HydroPortail — distribution fitting, quantile curves and their uncertainties for hydrological series. The 2025 release re-implements the HBay Fortran executable in R, adding Bayesian estimation from historical flood records with censored and interval-valued data and systematic measurement error, plus a triangular distribution and truncated random generation.
bkmrhat vs HydroPortailStats: editorial side-by-side
bkmrhat
0.0INFRA · APIS
A parallel-chain helper for bkmr that has settled into pure upkeep.
◆ Current state
bkmrhat wraps Bayesian kernel machine regression (bkmr) so users can run and diagnose multiple MCMC chains in parallel, then combine or continue them. The functional surface has been stable since 2022, when chain-combining picked up a low-memory path and a seed-collision bug was corrected. The most recent release adds only diagnostic metadata to the package description.
◆ Where it's heading
Three releases across five years, and the newest carries no user-facing change at all. The package is in maintenance: it does what it set out to do for bkmr users, and updates now arrive only when CRAN or an upstream dependency forces them.
◆ Prediction
Expect the next release to be another compliance or dependency-driven patch rather than new functionality; the entries show no in-progress feature work.
HydroPortailStats
0.0INFRA · APIS
France's national flood statistics, ported out of Fortran and into R.
◆ Current state
HydroPortailStats exposes the statistical machinery behind the French HydroPortail — distribution fitting, quantile curves and their uncertainties for hydrological series. The 2025 release re-implements the HBay Fortran executable in R, adding Bayesian estimation from historical flood records with censored and interval-valued data and systematic measurement error, plus a triangular distribution and truncated random generation.
◆ Where it's heading
The package started as a straight extraction of the portal's existing functions and is now absorbing the surrounding legacy toolchain: HBay was a separate compiled program with its own config files, and this release brings both the method and its configuration format inside R. Releases are sparse — three in two years, with an eighteen-month gap before the latest — and the intervening one was CRAN paperwork.
◆ Prediction
The HBay import came with a configuration-file reader for continuity with the old executable, which suggests further legacy hydrological tooling could follow the same path; the entries name no specific next target.
Alternatives to bkmrhat and HydroPortailStats
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either bkmrhat or HydroPortailStats.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all bkmrhat alternatives → · See all HydroPortailStats alternatives →
Recent activity from bkmrhat and HydroPortailStats
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agobkmrhatDebugging metadata added to package description
- 1y agoHydroPortailStatsHistorical flood records enter the estimator via an HBay port ⚡
- 3y agoHydroPortailStatsCRAN submission renames the return-period arguments
- 3y agoHydroPortailStatsFirst release: the HydroPortail statistical functions in R
- 4y agobkmrhatLow-memory chain combining plus a seed-collision fix
- 5y agobkmrhatFirst release: parallel chains and continuation for bkmr
Frequently asked questions
What is the difference between bkmrhat and HydroPortailStats?
Both compete on the same themes — bayesian-statistics, r-package — within Infra & APIs. bkmrhat and HydroPortailStats are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is bkmrhat better than HydroPortailStats?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bkmrhat and HydroPortailStats are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to bkmrhat?
Top bkmrhat alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bkmrhat alternatives" section above for the current picks, or visit /alternatives/bkmrhat for the full list with editorial commentary on each.
What are the best alternatives to HydroPortailStats?
Top HydroPortailStats alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "HydroPortailStats alternatives" section above for the current picks, or visit /alternatives/hydroportailstats for the full list with editorial commentary on each.