mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of dscore and selection.index — 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 dormant plant-breeding package returns as a genomic selection index suite
selection.index computes selection indices for plant breeding — weighting several traits into one number breeders can rank on. After two years of silence it shipped 2.0.0 in March 2026, and the package is barely recognisable: snake_case throughout, an Rcpp and RcppEigen computational core, and index families for genomic data, marker data, multi-stage trials and constrained genetic gain sitting beside the original phenotypic ones.
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.
selection.index computes selection indices for plant breeding — weighting several traits into one number breeders can rank on. After two years of silence it shipped 2.0.0 in March 2026, and the package is barely recognisable: snake_case throughout, an Rcpp and RcppEigen computational core, and index families for genomic data, marker data, multi-stage trials and constrained genetic gain sitting beside the original phenotypic ones.
The first version series added one function at a time — combinatorial indices, then genetic advance, then mean performance under randomised block designs — against a fixed phenotypic framing. Version 2.0.0 abandons that framing rather than extending it. Genomic and marker information become inputs the package understands, multi-cycle simulation becomes a built-in toolset, and the old combinatorial entry points are replaced by a named lpsi(). The 2.0.1 follow-up is entirely CI and numerical-stability work, which reads like a maintainer bracing a much larger surface.
A seventeen-runner CI matrix mirroring every CRAN check flavour, added days after 2.0.0, says the immediate concern is keeping a compiled multi-family package green rather than adding to it. Expect stabilisation releases before anything new.
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 selection.index.
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 dscore alternatives → · See all selection.index alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — breaking-changes — within Infra & APIs. dscore and selection.index 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 selection.index 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 selection.index alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "selection.index alternatives" section above for the current picks, or visit /alternatives/selection-index for the full list with editorial commentary on each.