HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of daedalus and gkwdist — release velocity, themes, recent moves, and the top alternatives to consider.
An epidemic-economic model teaching its interventions to react to the outbreak itself.
daedalus couples an infectious-disease model to sector-level economic costs, letting users test non-pharmaceutical interventions against both epidemic and fiscal outcomes. Over autumn 2025 the intervention layer went from a single fixed closure to sequential timed NPIs and then to closures that lift in response to the model's own instantaneous reproduction number. Alongside that, the cost functions were reworked so illness states map more carefully onto lost productivity.
gkwdist keeps finding that its distributions were returning the wrong numbers.
The package implements the Generalized Kumaraswamy distribution family and its sub-families. The current release fixes six numerical defects, the most serious being that dgkw() returned zero for every input because internal helpers collided with same-named functions in R's public Rmath.h header. Log-likelihoods for three sub-families were also wrong for data near zero due to clamping instead of working in log space.
daedalus couples an infectious-disease model to sector-level economic costs, letting users test non-pharmaceutical interventions against both epidemic and fiscal outcomes. Over autumn 2025 the intervention layer went from a single fixed closure to sequential timed NPIs and then to closures that lift in response to the model's own instantaneous reproduction number. Alongside that, the cost functions were reworked so illness states map more carefully onto lost productivity.
The arc is toward a model that behaves like a policy simulator rather than a scenario calculator: interventions now have their own state machine, R_t is computed inside the ODE system, and event handling has been pulled out of the output object. Correction releases sit between the feature ones, including an indexing fix the maintainers flag as required for accurate projections. The versioning is patch-level but the changes are structural.
With R_t and the next-generation matrix now available in-model, the likely next step is richer response rules keyed to those quantities; the entries give no signal on when a stable 1.0 arrives.
The package implements the Generalized Kumaraswamy distribution family and its sub-families. The current release fixes six numerical defects, the most serious being that dgkw() returned zero for every input because internal helpers collided with same-named functions in R's public Rmath.h header. Log-likelihoods for three sub-families were also wrong for data near zero due to clamping instead of working in log space.
Every release in this window is correctness work with an unchanged public API — critical MLE fixes in 1.1.3, a CRAN timing-test patch in 1.1.4, numerical corrections in 1.1.5. The recurring theme is that analytically correct formulas were being defeated by implementation details: name collisions, sign errors returning negative infinity where positive was required, and clamping thresholds that destroyed precision in the tails. Test infrastructure added in 1.1.2 validates analytical derivatives against numerical differentiation, which is how several of these were caught.
Expect further validation-driven fixes rather than new distributions, since the derivative-checking suite added earlier is still surfacing defects in existing routines.
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 daedalus or gkwdist.
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.
See all daedalus alternatives → · See all gkwdist alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. gkwdist 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. gkwdist 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 daedalus alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "daedalus alternatives" section above for the current picks, or visit /alternatives/daedalus for the full list with editorial commentary on each.
Top gkwdist alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "gkwdist alternatives" section above for the current picks, or visit /alternatives/gkwdist for the full list with editorial commentary on each.