HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of bsvarSIGNs and missSBM — release velocity, themes, recent moves, and the top alternatives to consider.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
bsvarSIGNs estimates structural vector autoregressions identified by sign, zero and narrative restrictions, with the sampler in C++ and the objects, workflows and code structure deliberately matched to the bsvars package. Since the 1.0 launch in mid-2024 the releases have been consolidation: a fix pass, then a vignette, citation metadata and C++ changes to stay ahead of an upcoming compiler check.
missSBM returns after four dormant years with a stricter API and a new refinement step.
The package fits stochastic block models to networks with missing data, covering both missing-at-random and informative sampling designs. After a run of releases from 2019 to 2022, the feed goes quiet until this year's 1.1.0, which breaks the control interface, exposes the block split and merge operations as testable instance methods, and adds a node-swap refinement pass that runs after variational convergence.
bsvarSIGNs estimates structural vector autoregressions identified by sign, zero and narrative restrictions, with the sampler in C++ and the objects, workflows and code structure deliberately matched to the bsvars package. Since the 1.0 launch in mid-2024 the releases have been consolidation: a fix pass, then a vignette, citation metadata and C++ changes to stay ahead of an upcoming compiler check.
The package launched with a published roadmap and the stated intention of intensive development, then spent its next two releases on documentation and compliance rather than new identification schemes. The 2.0 version number is not matched by the changes described under it. What the feed shows is a methods package settling in after launch, not one expanding.
The roadmap referenced at launch is the only stated plan, and the entries since do not say which part of it is next.
The package fits stochastic block models to networks with missing data, covering both missing-at-random and informative sampling designs. After a run of releases from 2019 to 2022, the feed goes quiet until this year's 1.1.0, which breaks the control interface, exposes the block split and merge operations as testable instance methods, and adds a node-swap refinement pass that runs after variational convergence.
The new release is maintenance-driven in the best sense: it targets the parts of the codebase that were hard to test or easy to misuse. Replacing free-form control lists with a function of named, defaulted arguments turns silent typos into errors, and pulling the exploration logic out of the collection class makes the search algorithm independently testable without changing it. The polish step addresses a known weakness, reaching individually misclassified nodes that split and merge moves cannot fix.
Given the gap before this release, the near-term question is whether the cadence resumes at all; the refactoring it contains would support further algorithmic work if it does.
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 bsvarSIGNs or missSBM.
France's national flood statistics, ported out of Fortran and into R.
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 bsvarSIGNs alternatives → · See all missSBM alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. missSBM 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. missSBM 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 bsvarSIGNs alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bsvarSIGNs alternatives" section above for the current picks, or visit /alternatives/bsvarsigns for the full list with editorial commentary on each.
Top missSBM alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "missSBM alternatives" section above for the current picks, or visit /alternatives/misssbm for the full list with editorial commentary on each.