massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
A side-by-side editorial comparison of rollupTree and statpsych — 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 statistics catalogue for psychology that grows by the release and rarely changes shape.
statpsych supplies confidence intervals, hypothesis tests, power calculations and sample-size planning for the designs psychology researchers actually run, exposed as several hundred small named functions rather than a modelling framework. Version 2.0.0 adds eight functions across logistic model performance, Kendall tau-a intervals and sample sizes, intraclass correlation testing, Geary kurtosis and Mann-Whitney power, and retires three names in favour of generalised replacements. The major version number reflects those removals rather than a change in how the package is used.
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.
statpsych supplies confidence intervals, hypothesis tests, power calculations and sample-size planning for the designs psychology researchers actually run, exposed as several hundred small named functions rather than a modelling framework. Version 2.0.0 adds eight functions across logistic model performance, Kendall tau-a intervals and sample sizes, intraclass correlation testing, Geary kurtosis and Mann-Whitney power, and retires three names in favour of generalised replacements. The major version number reflects those removals rather than a change in how the package is used.
Every release in this window is the same shape: a list of new functions, occasionally a rename. The package grows by filling cells in a grid of estimand, design and inferential goal, and 2.0.0 is notable only for finally deleting the three names its generalised replacements had superseded. That makes it a reference library whose value is coverage and stability, not direction, and the entries give no sign of that changing.
Expect the accretion to continue along the same axes, with sample-size and power counterparts filled in for estimands that currently have interval functions but no planning ones. The 2.0.0 deletions suggest occasional consolidation passes when a generalised function makes older specific ones redundant.
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 statpsych.
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
Spatial thinning grows a result object, and the API breaks to make room for it
See all rollupTree alternatives → · See all statpsych 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 statpsych 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 statpsych 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 statpsych alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statpsych alternatives" section above for the current picks, or visit /alternatives/statpsych for the full list with editorial commentary on each.