← Back to home
Comparison · Analytics

admiralpeds vs ggsurvfit

A side-by-side editorial comparison of admiralpeds and ggsurvfit — release velocity, themes, recent moves, and the top alternatives to consider.

admiralpeds vs ggsurvfit: at a glance

Featureadmiralpedsggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themespharmaverse, paediatrics, growth-charts, documentationsurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is admiralpeds?

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.

Read the full admiralpeds trajectory →

What is ggsurvfit?

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.

Read the full ggsurvfit trajectory →

admiralpeds vs ggsurvfit: editorial side-by-side

A
admiralpeds
ANALYTICS
0.0

admiralpeds has shipped nothing but documentation for four releases running.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

G
ggsurvfit
ANALYTICS
2.5

ggsurvfit is in correctness-and-compatibility mode, not feature mode.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to admiralpeds and ggsurvfit

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.

See all admiralpeds alternatives → · See all ggsurvfit alternatives →

Recent activity from admiralpeds and ggsurvfit

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 1mo agoadmiralpedsTemplates vignette and website tooling updates
  3. 6mo agoadmiralpedsAsk AI widget and roclet-driven documentation
  4. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  5. 11mo agoadmiralpedsDocumentation site and licensing housekeeping
  6. 1y agoadmiralpedsADVS template aligned with admiral; test data moved out
  7. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  8. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  9. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  10. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between admiralpeds and ggsurvfit?

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.

Is admiralpeds better than ggsurvfit?

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.

What are the best alternatives to admiralpeds?

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.

What are the best alternatives to ggsurvfit?

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.