jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of formr and mice — release velocity, themes, recent moves, and the top alternatives to consider.
formr's R client reached CRAN and moved its recommended path to the v1 REST API.
formr is the R-side client for formr.org, the open study framework used to run longitudinal and experience-sampling questionnaires. In May it reached CRAN for the first time, released in step with formr.org server v1.0.0, and the formr_api_* family built on the server's RESTful surface became the supported entry point. The three releases since have been repair work on the paths that move rendered output and API results.
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.
formr is the R-side client for formr.org, the open study framework used to run longitudinal and experience-sampling questionnaires. In May it reached CRAN for the first time, released in step with formr.org server v1.0.0, and the formr_api_* family built on the server's RESTful surface became the supported entry point. The three releases since have been repair work on the paths that move rendered output and API results.
The direction is consolidation around the v1 API while the legacy Classic path is left running but demoted in the vignette. The complication is that CRAN's requirements and the OpenCPU server's requirements pull against each other: CRAN review pushed rendering into tempdir() with random filenames, which broke rforms.org because the server fetches a fixed knit.html, and 1.1.2 had to put it back. The 1.2.0 note describes the same write-directory problem being solved in an OpenCPU-aware way rather than reverted, alongside making dependencies installable under WASM.
Two of the last three releases were regressions in the render path, so the OpenCPU-aware write directory in 1.2.0 is the change most likely to need follow-up. The Classic formr_results() path remains in the package with no removal date announced, and nothing in these entries indicates when that ends.
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 formr 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. formr 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. formr 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 formr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "formr alternatives" section above for the current picks, or visit /alternatives/formr 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.