artoo
artoo makes any-to-any clinical dataset conversion lossless by construction.
A side-by-side editorial comparison of prova and traumar — release velocity, themes, recent moves, and the top alternatives to consider.
prova adds expected-utility calculation on top of its Bayesian inference core.
prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.
Trauma registry statistics in R, tightening the numbers it reports against the literature.
traumar computes trauma-centre performance measures from registry data, including relative mortality metrics, SEQIC quality indicators and predicted survival probability. The recent releases are dominated by correctness rather than coverage: 1.2.5 changed how the denominator for SEQIC indicator 7 is derived so it reflects the definitive care population rather than a raw row count, and 1.2.3 realigned probability_of_survival() with published coefficients. Version 1.2.6 completes a deprecation, turning the old n_decimal argument into an error.
prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.
Two arcs run in parallel. One compresses the API: learnt= became K=, flexiplot() and plotquantiles() merged into pplot(), and omitting arguments such as Y=, X= and K= got simpler. The other extends reach — mutualinfoF() for finite-domain variates, quantile accuracy reported alongside mutual information, and now a decision-theoretic layer sitting on the inference the package already did.
exputility() shipping with print() and plot() methods matches how the probability and mutual-information classes were treated, so utilities are likely to get the same class-based handling as they mature. The notes do not say whether decision analysis extends beyond expected utility.
traumar computes trauma-centre performance measures from registry data, including relative mortality metrics, SEQIC quality indicators and predicted survival probability. The recent releases are dominated by correctness rather than coverage: 1.2.5 changed how the denominator for SEQIC indicator 7 is derived so it reflects the definitive care population rather than a raw row count, and 1.2.3 realigned probability_of_survival() with published coefficients. Version 1.2.6 completes a deprecation, turning the old n_decimal argument into an error.
This is a package whose outputs are reported numbers, and it is behaving accordingly: the notable changes in this window alter results rather than add features. A denominator computed as a row count instead of a filtered population, and a survival calculation not matching the coefficients it cites, are both the kind of defect that quietly propagates into published figures, and both were corrected here. Around that sit in-house validation helpers written deliberately to avoid a new dependency, and a steady tidy-up of tests and tooling.
Expect the validation family introduced in 1.2.4 to be applied more widely across the package's entry points, now that it exists and is deliberately kept internal. Further SEQIC indicators being reviewed against their definitions looks likely given indicator 7 needed it, though the entries name no specific one as next.
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 prova or traumar.
artoo makes any-to-any clinical dataset conversion lossless by construction.
tabular went from clinical tables to complete TFL output in under two months.
usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.
checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
Four years dormant, rstudio.prefs returns under a new maintainer.
See all prova alternatives → · See all traumar alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 prova alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "prova alternatives" section above for the current picks, or visit /alternatives/prova for the full list with editorial commentary on each.
Top traumar alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "traumar alternatives" section above for the current picks, or visit /alternatives/traumar for the full list with editorial commentary on each.