jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of campsismod and mice — release velocity, themes, recent moves, and the top alternatives to consider.
The model layer under Campsis, renamed in step with it and increasingly JSON-addressable.
Campsismod holds the model object layer for the Campsis pharmacometric simulation suite: reading, editing and writing model definitions that Campsis then simulates. Its recent releases track a single programme, adding a JSON route into model objects and then renaming the whole API to snake_case in 1.4.0, a week before Campsis 1.9.0 did the same. Release notes are terse issue lists, so the reasoning behind each change has to be read from the sibling package.
mice can finally predict, not just estimate, from multiply imputed data.
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
Campsismod holds the model object layer for the Campsis pharmacometric simulation suite: reading, editing and writing model definitions that Campsis then simulates. Its recent releases track a single programme, adding a JSON route into model objects and then renaming the whole API to snake_case in 1.4.0, a week before Campsis 1.9.0 did the same. Release notes are terse issue lists, so the reasoning behind each change has to be read from the sibling package.
This package moves when Campsis needs it to move. The JSON constructor landed here in 1.3.0 and reached Campsis datasets a day later; parameter uncertainty generation was handed down from Campsis in that package's 1.6.0; and the snake_case migration started here before propagating up. That ordering makes Campsismod the place where suite-wide interface decisions are taken first, even though the visible payoff shows up in Campsis.
Expect Campsismod to keep absorbing model-level responsibilities that Campsis currently handles, and to extend the JSON mapping to whatever parts of the model object it does not yet cover. The entries give no signal on a 2.0, and with the rename already spent there is little reason to expect one soon.
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
Two things are happening. The imputation method catalogue keeps widening — lasso variants, multivariate PMM, categorical PMM via canonical correlation — while the pooling side is being extended past its original purpose, first to synthetic data, now to predictions on held-out sets. That second thread points at predictive modelling workflows rather than the inferential ones mice was built for. Meanwhile the maintainers keep finding consequential old bugs: the augment() ordered-factor defect in 3.18.0 had been silently degrading ordinal imputations for years.
predict_mi() is framed around evaluating predictive performance on test sets, and the ignore argument added in 3.12.0 already exists to hold out rows from the imputation model. Expect the next work to join those up into a fuller train/test story for imputed data, since the pieces are now in place but not yet connected.
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 campsismod or mice.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
State-panel tooling holding steady since its 2020 data and ergonomics release.
Five years of compiler and CRAN fixes on a capture-recapture package.
See all campsismod alternatives → · See all mice alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. campsismod 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. campsismod 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 campsismod alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "campsismod alternatives" section above for the current picks, or visit /alternatives/campsismod for the full list with editorial commentary on each.
Top mice alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mice alternatives" section above for the current picks, or visit /alternatives/mice for the full list with editorial commentary on each.