bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
A side-by-side editorial comparison of HydroPortailStats and simDAG — release velocity, themes, recent moves, and the top alternatives to consider.
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.
simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.
simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.
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.
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.
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.
simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.
The package has been widening what a simulation can represent rather than deepening any one node. Networks arrived in 0.4.0 so individuals could depend on each other, discrete-event simulation in continuous time arrived in 0.5.0 as an alternative to the discrete-time engine, and 1.0.0 connected the two by letting continuous hazards feed the event-driven path. Alongside that, node types keep accumulating for outcome families the framework could not previously generate.
Expect the node library to keep expanding into outcome types the discrete-event engine can now support, though the recent releases suggest upstream dependency churn will keep consuming release slots.
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 HydroPortailStats or simDAG.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all HydroPortailStats alternatives → · See all simDAG alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. simDAG is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. simDAG is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
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.
Top simDAG alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "simDAG alternatives" section above for the current picks, or visit /alternatives/simdag for the full list with editorial commentary on each.