metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
A side-by-side editorial comparison of admiralpeds and ggsurvfit — release velocity, themes, recent moves, and the top alternatives to consider.
admiralpeds has shipped nothing but documentation for four releases running.
The paediatric extension to admiral provides growth-parameter derivations against WHO and CDC metadata. Across its last four releases the notes contain no new functions and no changed derivations — the entries are vignettes, website theming, badges, an LLM documentation widget, lint configuration and a roclet migration to admiraldev.
ggsurvfit is in correctness-and-compatibility mode, not feature mode.
The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.
The paediatric extension to admiral provides growth-parameter derivations against WHO and CDC metadata. Across its last four releases the notes contain no new functions and no changed derivations — the entries are vignettes, website theming, badges, an LLM documentation widget, lint configuration and a roclet migration to admiraldev.
Development has moved almost entirely into the shared pharmaverse infrastructure: subject test data went out to pharmaversesdtm, lint configuration and the custom admiral roclets moved to admiraldev, and the website now follows the same PR-triggered build workflow as its sibling packages. What is left in the package itself is the growth derivations, which have not changed in these entries.
On this evidence the growth-derivation surface is considered complete; the next release is more likely to track an admiraldev or admiral change than to add a derivation.
The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.
The feature surface settled around 1.0.0, when risk-table alignment was exported and colour and linetype defaults became configurable. Since then the work is keeping pace with survival, ggplot2 and tidycmprsk changes, and closing cases where the plotted curve and the annotation disagreed — the p-value matched by position rather than name, confidence limits swapped for multi-state models, quantiles read off a plateau.
Expect the next release to track upstream survival or ggplot2 changes rather than add plotting features; the CDISC censoring convention adopted in Surv_CNSR() suggests further alignment with clinical data standards is the likelier direction.
Other Analytics 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 admiralpeds or ggsurvfit.
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
See all admiralpeds alternatives → · See all ggsurvfit alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggsurvfit 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. ggsurvfit 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 Analytics products to evaluate alongside.
Top admiralpeds alternatives in Analytics are ranked by recent ship velocity. Browse the "admiralpeds alternatives" section above for the current picks, or visit /alternatives/admiralpeds for the full list with editorial commentary on each.
Top ggsurvfit alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsurvfit alternatives" section above for the current picks, or visit /alternatives/ggsurvfit for the full list with editorial commentary on each.