mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of rollupTree and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
The recursive-computation engine under massProps grows the accessors its consumer needed
rollupTree performs recursive computations over tree and DAG structures — the generic engine that its author's massProps package uses to roll mass properties up an assembly breakdown. It is small and moves slowly: five releases in a year, of which two are README and vignette work. The current surface added row-level get and set accessors by key and by id at 0.4.0.
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
rollupTree performs recursive computations over tree and DAG structures — the generic engine that its author's massProps package uses to roll mass properties up an assembly breakdown. It is small and moves slowly: five releases in a year, of which two are README and vignette work. The current surface added row-level get and set accessors by key and by id at 0.4.0.
The package develops in response to its one visible consumer. The 0.4.0 accessors appeared in January 2026 and massProps switched to them thirteen days later; 0.4.1 then fixed missing column names in the setters, which is the kind of defect only real use surfaces. Before that, 0.3.0's default_validate_dag() extended validation past strict trees to directed acyclic graphs, widening what structures the engine will accept.
On the established pattern the next release will be whatever massProps needs next, discovered by using it. A DAG validator suggests non-tree structures are in scope, but nothing in these notes says that path is being pushed further.
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.
Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.
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 rollupTree or stochvol.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all rollupTree alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rollupTree and stochvol 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. rollupTree and stochvol 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 rollupTree alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rollupTree alternatives" section above for the current picks, or visit /alternatives/rolluptree for the full list with editorial commentary on each.
Top stochvol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "stochvol alternatives" section above for the current picks, or visit /alternatives/stochvol for the full list with editorial commentary on each.