jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of lares and mice — release velocity, themes, recent moves, and the top alternatives to consider.
One analyst's toolbox, still shipping: Meta MMM tooling beside Wordle solvers
lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.
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.
lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.
Over two years the Robyn tooling matured first — robyn_performance() and robyn_modelselector() were rebuilt release after release through 2024 — and recent work has drifted outward into media and API plumbing: encrypted file helpers in 5.3.2, then an iTunes-first metadata path, MP3 tag writing, and a move of holidays() onto the Nager.Date API in 5.4.0. Cadence is roughly quarterly and the package has been quiet for three months.
The pattern in nearly every release is that a third-party API moves and lares follows it — Meta's version bumps, Robyn 3.12.0, now Nager.Date. Expect the next release to be another compatibility pass plus whatever utility the author needed that week; nothing in these entries points at a structural change.
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 lares 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.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. lares and mice 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. lares and mice 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 Infra & APIs products to evaluate alongside.
Top lares alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "lares alternatives" section above for the current picks, or visit /alternatives/lares 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.