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epiparameter vs ggsurvfit

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

epiparameter vs ggsurvfit: at a glance

Featureepiparameterggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesepiverse-trace, epidemiological-parameters, package-architecture, licensingsurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is epiparameter?

epiparameter split its parameter library out of the package — and relicensed what remained.

epiparameter provides classes and methods for working with epidemiological parameter distributions — delays, offspring distributions, incubation periods — drawn from the published literature. As of 0.4.0 the library itself no longer lives here: the parameters moved to {epiparameterDB}, taken on as a dependency, leaving {epiparameter} as the code layer alone. The most recent release is a CRAN-driven patch.

Read the full epiparameter 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 →

epiparameter vs ggsurvfit: editorial side-by-side

E
epiparameter
ANALYTICS
0.0

epiparameter split its parameter library out of the package — and relicensed what remained.

◆ Current state

epiparameter provides classes and methods for working with epidemiological parameter distributions — delays, offspring distributions, incubation periods — drawn from the published literature. As of 0.4.0 the library itself no longer lives here: the parameters moved to {epiparameterDB}, taken on as a dependency, leaving {epiparameter} as the code layer alone. The most recent release is a CRAN-driven patch.

◆ Where it's heading

Each release has clarified the boundary between the data and the tools that operate on it. 0.2.0 added coercion from {epireview} tables, 0.3.0 rewrote the classes and renamed much of the API, and 0.4.0 completed the separation while adding caching so loading the library stays cheap. Breaking changes have been frequent and deliberate rather than incidental.

◆ Prediction

With code and data separated, the two can version independently — expect parameter additions to appear in {epiparameterDB} releases while this package's changes stay focused on classes and methods.

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 epiparameter 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 epiparameter or ggsurvfit.

See all epiparameter alternatives → · See all ggsurvfit alternatives →

Recent activity from epiparameter 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. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  3. 1y agoepiparameterCRAN check fixes
  4. 1y agoepiparameterParameter library moves to epiparameterDB; package relicensed to MIT alone
  5. 1y agoepiparameterClasses and methods reworked; large-scale renaming
  6. 2y agoepiparameterInteroperability with epireview via as_epidist()
  7. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  8. 2y agoepiparameterFirst release: 122 parameter sets and the epidist class
  9. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  10. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  11. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between epiparameter 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 epiparameter 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 epiparameter?

Top epiparameter alternatives in Analytics are ranked by recent ship velocity. Browse the "epiparameter alternatives" section above for the current picks, or visit /alternatives/epiparameter 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.