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gMCPLite vs graphicalMCP

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

Shared themes:multiple-comparisonsclinical-trialsr-language

gMCPLite vs graphicalMCP: at a glance

FeaturegMCPLitegraphicalMCP
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-comparisons, clinical-trials, r-language, java-freeclinical-trials, multiple-comparisons, biostatistics, r-language
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

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 →

gMCPLite vs graphicalMCP: editorial side-by-side

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.

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 gMCPLite 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 gMCPLite or graphicalMCP.

See all gMCPLite alternatives → · See all graphicalMCP alternatives →

Recent activity from gMCPLite and graphicalMCP

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

  1. 4mo agographicalMCPClosure-based and rejection-based graph tests now agree
  2. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  3. 11mo agogMCPLiteVisual regression tests added for hGraph()
  4. 1y agographicalMCPHochberg tests and internal validation added
  5. 1y agographicalMCPRepository moved to the openpharma organisation
  6. 2y agographicalMCPCRAN resubmission housekeeping
  7. 2y agographicalMCPFirst release of the graphical MCP implementation
  8. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  9. 2y agogMCPLitecairo_pdf device for Unicode in examples
  10. 2y agogMCPLitepkgdown tabset rendering fixed
  11. 3y agogMCPLiteBuild ignores docs; typos corrected

Frequently asked questions

What is the difference between gMCPLite and graphicalMCP?

Both compete on the same themes — multiple-comparisons, clinical-trials, r-language — within Analytics. gMCPLite and graphicalMCP are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is gMCPLite better than graphicalMCP?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gMCPLite and graphicalMCP are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

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.

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.