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ggsurvfit vs pharmaversesdtm

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

Shared themes:cdisc

ggsurvfit vs pharmaversesdtm: at a glance

Featureggsurvfitpharmaversesdtm
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotspharmaverse, sdtm, cdisc, test-data
Last editorial update1h ago1h 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 pharmaversesdtm?

pharmaversesdtm is the test-data layer every pharmaverse package now builds against.

The package ships example SDTM datasets and has grown one therapeutic area at a time — ophthalmology, oncology response criteria, vaccines, metabolic, neurology, and now lymphoma under Lugano 2014. Sibling packages keep moving their internal test data here, so its release notes double as a record of what the rest of the pharmaverse is building.

Read the full pharmaversesdtm trajectory →

ggsurvfit vs pharmaversesdtm: 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.

P0.0

pharmaversesdtm is the test-data layer every pharmaverse package now builds against.

◆ Current state

The package ships example SDTM datasets and has grown one therapeutic area at a time — ophthalmology, oncology response criteria, vaccines, metabolic, neurology, and now lymphoma under Lugano 2014. Sibling packages keep moving their internal test data here, so its release notes double as a record of what the rest of the pharmaverse is building.

◆ Where it's heading

Two kinds of work alternate: adding domains and biomarkers for a new indication, and making the existing data easier to reach — CSV copies under inst/extdata for non-R programmers, a datasets preview vignette, reference pages categorised by therapeutic area, variable-by-variable breakdowns. Consistency fixes against CDISC terminology and SDTM guidelines run through every release.

◆ Prediction

New therapeutic areas will keep arriving in step with the admiral extension packages that need them; the neurology and metabolic datasets landed just ahead of admiralneuro and admiralmetabolic needing them, and lymphoma looks like the next in that sequence.

Alternatives to ggsurvfit and pharmaversesdtm

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 pharmaversesdtm.

See all ggsurvfit alternatives → · See all pharmaversesdtm alternatives →

Recent activity from ggsurvfit and pharmaversesdtm

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 agopharmaversesdtmLymphoma response data and geographic-atrophy tests
  3. 4mo agopharmaversesdtmCSV exports and microbiology domains for wider access
  4. 7mo agopharmaversesdtmNeurological SDTM datasets and Alzheimer's biomarkers
  5. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  6. 11mo agopharmaversesdtmMaintainer and licensing update
  7. 1y agopharmaversesdtmMetabolic SDTM datasets and PCWG3 oncology response
  8. 1y agopharmaversesdtmGCIG response data and automated reference pages
  9. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  10. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  11. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  12. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between ggsurvfit and pharmaversesdtm?

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 pharmaversesdtm?

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 pharmaversesdtm?

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