HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of bsvarSIGNs and estimatr — 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.
Fast design-based estimators for experiments, coasting on CRAN patches.
estimatr provides the design-based regression estimators the DeclareDesign ecosystem is built on — robust and cluster-robust standard errors, blocked and clustered randomization inference — implemented for speed rather than generality. The last three releases carry no substantive notes: each is a merge commit for a CRAN patch, one of them accompanied by a typo fix.
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.
estimatr provides the design-based regression estimators the DeclareDesign ecosystem is built on — robust and cluster-robust standard errors, blocked and clustered randomization inference — implemented for speed rather than generality. The last three releases carry no substantive notes: each is a merge commit for a CRAN patch, one of them accompanied by a typo fix.
Direction cannot be read from this feed. The release notes are unedited merge-commit messages, so the only signal is cadence — roughly annual, each release framed as a CRAN patch rather than as feature work. That pattern is consistent with a package whose estimators are considered finished and which now moves only when CRAN policy requires it.
On the evidence here the next release is another CRAN compliance patch, but the notes are too thin to support a confident read of what the maintainers are actually working on.
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 estimatr.
France's national flood statistics, ported out of Fortran and into R.
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.
Bayesian luminescence dating that finally replaced its folder-structure input format.
See all bsvarSIGNs alternatives → · See all estimatr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — econometrics, r-package — within Infra & APIs. bsvarSIGNs and estimatr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bsvarSIGNs and estimatr 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.
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 estimatr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "estimatr alternatives" section above for the current picks, or visit /alternatives/estimatr for the full list with editorial commentary on each.