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ggsurvfit vs random.cdisc.data

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

Shared themes:cdisc

ggsurvfit vs random.cdisc.data: at a glance

Featureggsurvfitrandom.cdisc.data
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotscdisc, synthetic-data, clinical-trials, test-fixtures
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

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 →

What is random.cdisc.data?

Synthetic CDISC data generation that has been quiet since early 2024.

random.cdisc.data generates synthetic CDISC-format clinical trial datasets, used across the insightsengineering and teal packages as test and demo data. The last substantive release, 0.3.15 in March 2024, made cached-data rebuilds incremental and corrected an ETHNIC factor level. Everything older in this feed is release automation.

Read the full random.cdisc.data trajectory →

ggsurvfit vs random.cdisc.data: editorial side-by-side

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.

R0.0

Synthetic CDISC data generation that has been quiet since early 2024.

◆ Current state

random.cdisc.data generates synthetic CDISC-format clinical trial datasets, used across the insightsengineering and teal packages as test and demo data. The last substantive release, 0.3.15 in March 2024, made cached-data rebuilds incremental and corrected an ETHNIC factor level. Everything older in this feed is release automation.

◆ Where it's heading

Activity has thinned to one real release in the visible window, surrounded by version bumps and workflow propagation. The 0.3.15 work is maintenance-shaped — dependency floors, a data typo, faster vignette rebuilds — which is what a fixture package looks like once downstream packages depend on its output staying unchanged.

◆ Prediction

Further releases are likely to stay corrective, since the package's value to teal and tern depends on its generated datasets remaining stable rather than growing.

Alternatives to ggsurvfit and random.cdisc.data

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 ggsurvfit or random.cdisc.data.

See all ggsurvfit alternatives → · See all random.cdisc.data alternatives →

Recent activity from ggsurvfit and random.cdisc.data

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  3. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  4. 2y agorandom.cdisc.dataIncremental cached-data rebuilds and an ETHNIC level fix
  5. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  6. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  7. 3y agoggsurvfitGlue syntax in risk tables and coxph model support
  8. 3y agorandom.cdisc.data2022_10_13
  9. 3y agorandom.cdisc.data2022_08_16
  10. 4y agorandom.cdisc.data2022_04_07
  11. 4y agorandom.cdisc.dataTESTING_DEPTH sets added to the generated data
  12. 4y agorandom.cdisc.dataTESTING_DEPTH sets added (duplicate pre-release tag)

Frequently asked questions

What is the difference between ggsurvfit and random.cdisc.data?

Both compete on the same themes — cdisc — within Analytics. 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 ggsurvfit better than random.cdisc.data?

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 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.

What are the best alternatives to random.cdisc.data?

Top random.cdisc.data alternatives in Analytics are ranked by recent ship velocity. Browse the "random.cdisc.data alternatives" section above for the current picks, or visit /alternatives/random-cdisc-data for the full list with editorial commentary on each.