mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of checkhelper and dscore — release velocity, themes, recent moves, and the top alternatives to consider.
checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
1.0.0 added a whole audit_* family — audit_downloads(), audit_description(), audit_dontrun() and audit_citation() — each parsing package source statically and returning a tibble of hits paired with a suggested fix. The package is now defending that position: 1.0.1 rc1 is a submission candidate answering a CRAN archival notice, after roxygen2 8.x moved DESCRIPTION's RoxygenNote field and broke a find_missing_tags() test fixture.
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.
1.0.0 added a whole audit_* family — audit_downloads(), audit_description(), audit_dontrun() and audit_citation() — each parsing package source statically and returning a tibble of hits paired with a suggested fix. The package is now defending that position: 1.0.1 rc1 is a submission candidate answering a CRAN archival notice, after roxygen2 8.x moved DESCRIPTION's RoxygenNote field and broke a find_missing_tags() test fixture.
The design commitment is static analysis — AST walks via getParseData(), line-by-line Rd reading, no eval() and no namespace loading — so the tool can report on a package it never runs. That commitment is what made the roxygen2 8.x break survivable: the audit pipeline itself was verified correct under 8.1.0 and only the test scaffolding had to go, now guarded by a dedicated regression test. fix_globals(write = TRUE) is being sanded down in parallel, no longer flattening per-function grouping comments or writing a degenerate empty globalVariables() shell.
The immediate move is the 1.0.1 submission itself, clearing the archival notice. Beyond that, each additional CRAN incoming-check rule remains a candidate for another audit_* function; the open question these notes still leave is whether the family ever gets a single combined entry point.
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.
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 checkhelper or dscore.
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 checkhelper alternatives → · See all dscore alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. checkhelper is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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. checkhelper is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 checkhelper alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "checkhelper alternatives" section above for the current picks, or visit /alternatives/checkhelper for the full list with editorial commentary on each.
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.