JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
A side-by-side editorial comparison of ggsketch and mice — release velocity, themes, recent moves, and the top alternatives to consider.
ggsketch stopped being a line style and became a drawing-medium simulator.
ggsketch is a ggplot2 extension that renders plots as if drawn by hand. Through the 1.x line that meant one thing: roughening outlines and fills with configurable jitter. The 2.0.0 release published in July reframes the package around simulated drawing media — pen, chisel-tip highlighter, airbrush — and simulated paper grounds, with the sketch geoms inheriting whichever medium is set.
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.
ggsketch is a ggplot2 extension that renders plots as if drawn by hand. Through the 1.x line that meant one thing: roughening outlines and fills with configurable jitter. The 2.0.0 release published in July reframes the package around simulated drawing media — pen, chisel-tip highlighter, airbrush — and simulated paper grounds, with the sketch geoms inheriting whichever medium is set.
The maintainer states 2.0.0 is the engine for a series, and the release notes read that way: the medium sampler and the paper renderer are new Layer-1/Layer-2 primitives that every existing geom picks up for free. The second thread is correctness under real plot layouts — corner-aware label repulsion, boundary densification so bars bend under polar coordinates, reserved panel room so edge labels stop clipping. Geom coverage keeps widening in parallel, with chicklet charts the newest addition.
Expect the rest of the 2.x series to add media on top of the new sampler rather than more geoms, since that is where 2.0.0 put the extensibility. The default hachure-pitch change already shifts existing output slightly, so a follow-up patch tuning those defaults against real plots is likely.
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 ggsketch or mice.
Recurrent-event modelling settles, with mean_no() promoted to stable.
Nonparametric change point detection swaps p-values for importance scores.
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
Wavelet trend estimation tightens the defaults it shipped with.
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
A market-microstructure toolkit that keeps adding estimators as the papers land.
See all ggsketch 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. ggsketch 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. ggsketch 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 ggsketch alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggsketch alternatives" section above for the current picks, or visit /alternatives/ggsketch 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.