mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of campsis and writeAlizer — release velocity, themes, recent moves, and the top alternatives to consider.
Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.
Campsis runs clinical-trial simulations from pharmacometric models, sitting on mrgsolve and rxode2 as interchangeable engines, with the sibling package Campsismod supplying the model object layer. Version 1.9.0 is the release where the suite stops carrying its history: the whole API migrates to snake_case, backward compatibility with the old RxODE package is removed, and result processing is refactored into output functions that can be applied as a collection, with an NCA table the first substantial one. Campsismod made the same snake_case move a week earlier, so this is a suite-wide rename rather than one package's decision.
Six months of releases and not one of them touched the scoring models
writeAlizer generates predicted writing-quality scores from features produced by Coh-Metrix, ReaderBench and GAMET, downloading its trained scoring models on demand. Every release in this window — nine of them between September 2025 and February 2026 — is about that download path rather than the scoring: classed error conditions, checksum verification, an offline mode, a mockable artifact directory, and dependency reporting for the model families a user actually invokes.
Campsis runs clinical-trial simulations from pharmacometric models, sitting on mrgsolve and rxode2 as interchangeable engines, with the sibling package Campsismod supplying the model object layer. Version 1.9.0 is the release where the suite stops carrying its history: the whole API migrates to snake_case, backward compatibility with the old RxODE package is removed, and result processing is refactored into output functions that can be applied as a collection, with an NCA table the first substantial one. Campsismod made the same snake_case move a week earlier, so this is a suite-wide rename rather than one package's decision.
The 1.8 and 1.9 releases together describe a package being made drivable from outside R. JSON interfaces arrived first for models in Campsismod 1.3.0 and for datasets in Campsis 1.8.0, then extended to scenarios, settings and study replication; the output side has now been generalised the same way, from fixed result processing to a collection of output functions applied to simulated results. Renaming every function and cutting RxODE loose is the cost of that consolidation, paid in one deliberate breaking release rather than spread across several.
With the rename and the RxODE removal behind it, the next releases should restore the rxode2 engine to the test suite, which 1.9.0 removed temporarily, and continue filling out the output-function catalogue beyond NCA. The JSON surface looks like the intended entry point for driving Campsis from outside R, though the entries do not say what is meant to consume it.
writeAlizer generates predicted writing-quality scores from features produced by Coh-Metrix, ReaderBench and GAMET, downloading its trained scoring models on demand. Every release in this window — nine of them between September 2025 and February 2026 — is about that download path rather than the scoring: classed error conditions, checksum verification, an offline mode, a mockable artifact directory, and dependency reporting for the model families a user actually invokes.
The package is being made safe to distribute. CRAN's policy on packages that reach the internet drove the first wave — graceful failure, tests that preflight their URLs and skip, examples seeded from a local mock model — and 1.7.0 turned the accumulated fixes into structure with named error classes for each failure mode. Only 1.7.2 adds anything a user would ask for: filename handling for Coh-Metrix and GAMET outputs that arrive as paths.
With the artifact registry hardened and documented, the pressure that produced nine releases in six months should ease, and attention can return to the models themselves — the vignette on scoring-model development added in 1.7.2 hints at that. Nothing here promises new models.
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 campsis or writeAlizer.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all campsis alternatives → · See all writeAlizer alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. campsis is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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. campsis is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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 campsis alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "campsis alternatives" section above for the current picks, or visit /alternatives/campsis for the full list with editorial commentary on each.
Top writeAlizer alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "writeAlizer alternatives" section above for the current picks, or visit /alternatives/writealizer for the full list with editorial commentary on each.