ggprism
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
A side-by-side editorial comparison of dscore and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
The D-score reference implementation rebuilt its measurement foundation on seven countries.
dscore computes the D-score and DAZ, the GSED developmental measurement used in child-health research, and it is the reference implementation rather than one option among several. The package is at 2.1.0 after a dense 2025: the default key moved from three-country to seven-country validation data, the licence moved from AGPL to Apache 2.0, and the 2.1.0 line added per-country references, full BSID-III coverage and domain-level scoring. Breaking changes are routine here and always come with a documented fallback key or algorithm argument.
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.
dscore computes the D-score and DAZ, the GSED developmental measurement used in child-health research, and it is the reference implementation rather than one option among several. The package is at 2.1.0 after a dense 2025: the default key moved from three-country to seven-country validation data, the licence moved from AGPL to Apache 2.0, and the 2.1.0 line added per-country references, full BSID-III coverage and domain-level scoring. Breaking changes are routine here and always come with a documented fallback key or algorithm argument.
The arc runs from correcting the instrument to broadening who can use it. The 2020-2024 releases were item-table repair and error correction, including a scale-factor bug that altered published standard errors; from 1.11.0 onward the work is distribution — a permissive licence, more instruments mapped in, and references resolved per country rather than pooled. That combination points at national-survey and app-embedded use rather than research-only use.
The 2.0.0 notes state that groundwork was laid for extending D-scores to older children, and 2.0.0 still tells users to fall back to gsed2406 for instruments outside GSED SF and LF. Expect the next releases to close that gap by mapping more instruments into gsed2510, with the older-age extension the likeliest headline feature.
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 dscore or stochvol.
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.
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.
See all dscore 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. dscore 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. dscore 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 dscore alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "dscore alternatives" section above for the current picks, or visit /alternatives/dscore 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.