← Back to home
Comparison · Analytics

ggsurvfit vs gMCPLite

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

ggsurvfit vs gMCPLite: at a glance

FeatureggsurvfitgMCPLite
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsmultiple-comparisons, clinical-trials, r-language, java-free
Last editorial update4h ago41m 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 gMCPLite?

gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.

gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.

Read the full gMCPLite trajectory →

ggsurvfit vs gMCPLite: 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.

G
gMCPLite
ANALYTICS
0.0

gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.

◆ Current state

gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.

◆ Where it's heading

This is a package with a fixed job. The maintainers track two moving targets — the upstream gMCP it forked from, and the R graphics and testing stack underneath it — and pull across only what is needed. The addition of vdiffr visual regression tests for `hGraph()` is the most substantive recent change and fits the same posture: the plots are the deliverable, so pin them against accidental drift rather than redesign them.

◆ Prediction

Expect the pattern to continue — compatibility releases driven by ggplot2, testthat and pkgdown changes, with any statistical content arriving only as a selective port from upstream gMCP.

Alternatives to ggsurvfit and gMCPLite

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 gMCPLite.

See all ggsurvfit alternatives → · See all gMCPLite alternatives →

Recent activity from ggsurvfit and gMCPLite

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  3. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  4. 11mo agogMCPLiteVisual regression tests added for hGraph()
  5. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  6. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  7. 2y agogMCPLitecairo_pdf device for Unicode in examples
  8. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  9. 2y agogMCPLitepkgdown tabset rendering fixed
  10. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  11. 3y agoggsurvfitGlue syntax in risk tables and coxph model support
  12. 3y agogMCPLiteBuild ignores docs; typos corrected

Frequently asked questions

What is the difference between ggsurvfit and gMCPLite?

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 ggsurvfit better than gMCPLite?

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 gMCPLite?

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