pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of mice and radiatR — 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.
A circular-statistics toolkit for animal movement, shipped and then tightened in three weeks.
radiatR reads movement trajectories, plots them on circular axes, computes kinematics such as speed and path sinuosity, and runs the circular statistics that go with them, including tests of mean direction, symmetry and unimodality. It arrived as a first public release on 9 July 2026 with an accompanying Shiny app, and has had two releases since at roughly weekly intervals. The 0.1.x line is still setting its boundaries: 0.1.2 removes a loader dialect and makes previously silent data problems into errors.
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.
radiatR reads movement trajectories, plots them on circular axes, computes kinematics such as speed and path sinuosity, and runs the circular statistics that go with them, including tests of mean direction, symmetry and unimodality. It arrived as a first public release on 9 July 2026 with an accompanying Shiny app, and has had two releases since at roughly weekly intervals. The 0.1.x line is still setting its boundaries: 0.1.2 removes a loader dialect and makes previously silent data problems into errors.
Three releases in twelve days show a package hardening in public rather than accreting features. The direction of travel is toward refusing bad input instead of quietly working around it: non-finite coordinate rows now error by default rather than being dropped silently, combining Tracks objects rejects colliding trajectory ids and conflicting calibration metadata instead of merging them and discarding one side, and the Shiny app clears prior state before reading a new upload. The statistical surface is growing in parallel, but within the scope the first release already claimed.
Expect the remaining goodness-of-fit gap the notes name explicitly, Jones-Pewsey, to be filled in a later release, and the error-on-bad-input treatment to reach the parts of the loader it has not yet covered. A CRAN submission is the natural next step for a package this young, though nothing in these entries commits to one.
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 radiatR.
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 radiatR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. radiatR 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. radiatR 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 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 radiatR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "radiatR alternatives" section above for the current picks, or visit /alternatives/radiatr for the full list with editorial commentary on each.