pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of mice and multimark — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Five years of compiler and CRAN fixes on a capture-recapture package.
multimark fits capture-mark-recapture models for populations sampled with multiple non-invasive marks, including a spatial variant. Nothing in the visible history changes the models. Every recent release responds to something outside the package: a CRAN check, a compiler flag, or an upstream package that stopped exporting a function.
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.
multimark fits capture-mark-recapture models for populations sampled with multiple non-invasive marks, including a spatial variant. Nothing in the visible history changes the models. Every recent release responds to something outside the package: a CRAN check, a compiler flag, or an upstream package that stopped exporting a function.
This is preservation rather than development. The one substantive entry, in 2021, corrected an MCMC error in multimarkClosedSCR() serious enough that the author told users to revisit past analyses; everything since has been keeping the C code compiling across platforms. Release intervals now stretch to years.
Expect the pattern to hold, with a release whenever a toolchain or upstream dependency forces one and no change to the samplers.
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 mice or multimark.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
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.
See all mice alternatives → · See all multimark alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mice and multimark 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. mice and multimark 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 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.
Top multimark alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "multimark alternatives" section above for the current picks, or visit /alternatives/multimark for the full list with editorial commentary on each.