tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of cholera and CMAQ — release velocity, themes, recent moves, and the top alternatives to consider.
John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.
cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.
CMAQ went global in v5.5, and has been patching that surface ever since.
CMAQ is the EPA's Community Multiscale Air Quality modeling system, used for regulatory and research air quality simulation. Its release rhythm is strictly two-tier: numbered major versions carry new science and fresh benchmark datasets, while the x.y.z.n updates carry bug fixes against documentation and benchmarks that stay pinned to the parent version. The current line is v5.5, which introduced CRACMM2 chemistry and coupling to MPAS-A meteorology, followed by three patch rollups.
cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.
The direction is clear and sustained: convert a historical, self-referential coordinate system into one that interoperates with modern GIS. Each release extends latlong coverage to more datasets — pumps, roads, landmarks, and now the plague pit and map frame — while archiving the older prototypes. Parallelisation and the walking-distance solver were reworked along the way to keep the heavier computations usable.
Remaining non-georeferenced pieces and the archived latlong prototypes are the obvious next targets, alongside continued consolidation of the add*()/plot*() function pairs.
CMAQ is the EPA's Community Multiscale Air Quality modeling system, used for regulatory and research air quality simulation. Its release rhythm is strictly two-tier: numbered major versions carry new science and fresh benchmark datasets, while the x.y.z.n updates carry bug fixes against documentation and benchmarks that stay pinned to the parent version. The current line is v5.5, which introduced CRACMM2 chemistry and coupling to MPAS-A meteorology, followed by three patch rollups.
The v5.5 patches cluster around the newest and most sensitive components. ISAM source apportionment and DDM-3D sensitivity analysis account for corrections in every one of the three updates, and CRACMM2 needed fixes within months of release. That is the expected shape after a major version lands: the science is stable, the instrumentation built on top of it is not. Parallel I/O work in the latest patch suggests the global configurations are now being run at scales that expose throughput limits.
The next major version will fold these fixes in with new science, documentation and benchmark data — the release notes state this explicitly each time. Until then, expect further ISAM and DDM-3D corrections, which have appeared in every patch so far.
Other Analytics 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 cholera or CMAQ.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
See all cholera alternatives → · See all CMAQ alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. cholera and CMAQ 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. cholera and CMAQ 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 Analytics products to evaluate alongside.
Top cholera alternatives in Analytics are ranked by recent ship velocity. Browse the "cholera alternatives" section above for the current picks, or visit /alternatives/cholera-r for the full list with editorial commentary on each.
Top CMAQ alternatives in Analytics are ranked by recent ship velocity. Browse the "CMAQ alternatives" section above for the current picks, or visit /alternatives/cmaq for the full list with editorial commentary on each.