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Comparison · Analytics

ggsurvfit vs graphicalMCP

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

ggsurvfit vs graphicalMCP: at a glance

FeatureggsurvfitgraphicalMCP
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsclinical-trials, multiple-comparisons, biostatistics, r-language
Last editorial update4h ago43m 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 graphicalMCP?

graphicalMCP is a narrow statistical tool being hardened rather than grown.

graphicalMCP implements graphical multiple comparison procedures — the method used to control family-wise error across several endpoints in a clinical trial. The package moved under the openpharma organisation in 0.2.6, picked up Hochberg tests and internal validation in 0.2.8, and its most recent release fixes a case where graph testing by closure disagreed with the rejection-based path. Releases are roughly annual and short.

Read the full graphicalMCP trajectory →

ggsurvfit vs graphicalMCP: 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
graphicalMCP
ANALYTICS
0.0

graphicalMCP is a narrow statistical tool being hardened rather than grown.

◆ Current state

graphicalMCP implements graphical multiple comparison procedures — the method used to control family-wise error across several endpoints in a clinical trial. The package moved under the openpharma organisation in 0.2.6, picked up Hochberg tests and internal validation in 0.2.8, and its most recent release fixes a case where graph testing by closure disagreed with the rejection-based path. Releases are roughly annual and short.

◆ Where it's heading

The changelog reads as a package settling into reference-implementation status: procedure coverage widened once, then the work turned to proving the two computational routes through the same graph agree with each other. That agreement is the whole promise of this kind of tool, since the closure-based calculation is the definition and the rejection-based one is the fast path everyone actually runs. The openpharma move points the same direction — shared maintenance rather than a single author's project.

◆ Prediction

The entries show no feature roadmap, only correctness and validation work, so the next release is most likely another consistency or precision fix rather than a new procedure.

Alternatives to ggsurvfit and graphicalMCP

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 graphicalMCP.

See all ggsurvfit alternatives → · See all graphicalMCP alternatives →

Recent activity from ggsurvfit and graphicalMCP

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 4mo agographicalMCPClosure-based and rejection-based graph tests now agree
  3. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  4. 1y agographicalMCPHochberg tests and internal validation added
  5. 1y agographicalMCPRepository moved to the openpharma organisation
  6. 2y agographicalMCPCRAN resubmission housekeeping
  7. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  8. 2y agographicalMCPFirst release of the graphical MCP implementation
  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 ggsurvfit and graphicalMCP?

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 graphicalMCP?

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 graphicalMCP?

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