tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of CMAQ and mizer — release velocity, themes, recent moves, and the top alternatives to consider.
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.
After two and a half years dormant, mizer shipped three major versions in seven weeks.
The size-spectrum fish modelling package sat at 2.5.0 from December 2023 until June 2026, then released 3.0.0, 3.1.0 and 3.2.0 in the space of seven weeks. The three releases divide cleanly: 3.0.0 added biological realism through a diffusion term in the McKendrick-von Foerster equation, 3.1.0 added an opt-in second-order numerical scheme in size, and 3.2.0 rebuilt how species and resource parameters are set. Backward compatibility is handled carefully throughout — the experimental scheme is off by default and the first-order path is byte-identical to previous versions.
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.
The size-spectrum fish modelling package sat at 2.5.0 from December 2023 until June 2026, then released 3.0.0, 3.1.0 and 3.2.0 in the space of seven weeks. The three releases divide cleanly: 3.0.0 added biological realism through a diffusion term in the McKendrick-von Foerster equation, 3.1.0 added an opt-in second-order numerical scheme in size, and 3.2.0 rebuilt how species and resource parameters are set. Backward compatibility is handled carefully throughout — the experimental scheme is off by default and the first-order path is byte-identical to previous versions.
Two threads run through the 3.x line. The first is numerical: diffusion, then higher-order accuracy in both size and time, with explicit warnings that enabling them shifts diagnostics and may require recalibration. The second is making the package composable — extensions now work regardless of load order, and parameter assignment propagates to the derived rate arrays instead of being silently discarded. That second thread reads as the more consequential one: the 3.2.0 notes describe scalar edits that previously vanished and now accumulate, which is the kind of fix that changes what published model configurations actually computed.
Expect the experimental second-order scheme to move toward default-on once recalibration guidance exists, and the patch line to keep absorbing the documentation and website gaps that 3.2.1 started on.
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 CMAQ or mizer.
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.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mizer is currently shipping more aggressively (velocity 5.0 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. mizer is currently shipping more aggressively (velocity 5.0 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 Analytics products to evaluate alongside.
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.
Top mizer alternatives in Analytics are ranked by recent ship velocity. Browse the "mizer alternatives" section above for the current picks, or visit /alternatives/mizer-r for the full list with editorial commentary on each.