HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of bkmrhat and sps — release velocity, themes, recent moves, and the top alternatives to consider.
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.
sps keeps sanding down sequential Poisson sampling rather than adding to it.
The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.
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.
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.
Expect the next release to be another compliance or dependency-driven patch rather than new functionality; the entries show no in-progress feature work.
The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.
Development is consolidation rather than expansion. Most releases either speed up an existing routine or remove a decision the user previously had to make by hand, such as picking the smallest parameter that keeps replicate weights non-negative. Documentation and tooling get comparable attention to the algorithms, with a dedicated vignette on inclusion probabilities and a recent switch of test and documentation infrastructure. The API surface has been essentially stable across the window.
Expect continued small ergonomic and performance releases against the existing function set rather than new sampling designs, which is the pattern every release in this window follows.
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 sps.
France's national flood statistics, ported out of Fortran and into R.
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.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. sps 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. sps 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 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.
Top sps alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sps alternatives" section above for the current picks, or visit /alternatives/sps for the full list with editorial commentary on each.