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Comparison · Analytics

gMCPLite vs simtrial

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

Shared themes:clinical-trials

gMCPLite vs simtrial: at a glance

FeaturegMCPLitesimtrial
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-comparisons, clinical-trials, r-language, java-freeclinical-trials, group-sequential, survival-analysis, simulation
Last editorial update1h ago52m 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 simtrial?

A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers

simtrial simulates time-to-event clinical trials and applies the tests used to analyse them — logrank, weighted logrank, MaxCombo, RMST, milestone. The 0.4.0 release turned it from a fixed-sample simulator into a group sequential one and standardised every test behind a common output contract, and the releases since have been about making that machinery correct and fast enough to run at scale. Version 1.0.0 arrived in June 2025 with the API settled and three vignettes explaining both the one-call and build-it-yourself paths.

Read the full simtrial trajectory →

gMCPLite vs simtrial: 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.

S
simtrial
ANALYTICS
0.0

A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers

◆ Current state

simtrial simulates time-to-event clinical trials and applies the tests used to analyse them — logrank, weighted logrank, MaxCombo, RMST, milestone. The 0.4.0 release turned it from a fixed-sample simulator into a group sequential one and standardised every test behind a common output contract, and the releases since have been about making that machinery correct and fast enough to run at scale. Version 1.0.0 arrived in June 2025 with the API settled and three vignettes explaining both the one-call and build-it-yourself paths.

◆ Where it's heading

Post-1.0 the work is almost entirely statistical correctness and speed, and it is concentrated in sim_gs_n(): one-sided efficacy bounds, stratified targeted-event cut dates, a helper that derives cuttings straight from the design object. Performance moves in one direction throughout — dplyr replaced by data.table, foreach combination replaced by manual assembly, parallelisation added to sim_fixed_n() — because simulation-based operating characteristics are only useful if you can afford enough replications.

◆ Prediction

The recent fixes cluster on stratified and group sequential paths, so the next release most likely continues there rather than adding a new test type. The cut_from_design() helper suggests tighter coupling to gsDesign2 design objects is the direction of travel.

Alternatives to gMCPLite and simtrial

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 simtrial.

See all gMCPLite alternatives → · See all simtrial alternatives →

Recent activity from gMCPLite and simtrial

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

  1. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  2. 8mo agosimtrialOne-sided efficacy bound and stratified cut date corrected
  3. 11mo agosimtrialsim_gs_n moved to data.table; stratified design example added
  4. 11mo agogMCPLiteVisual regression tests added for hGraph()
  5. 1y agosimtrial1.0.0 settles the wlr interface and documents both simulation paths
  6. 1y agosimtrialMilestone Z-score denominator corrected; parallel sim_fixed_n arrives
  7. 2y agosimtrialChecks pass without Suggests dependencies
  8. 2y agosimtrialRMST and milestone tests, plus a user-definable cut and test framework
  9. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  10. 2y agogMCPLitecairo_pdf device for Unicode in examples
  11. 2y agogMCPLitepkgdown tabset rendering fixed
  12. 3y agogMCPLiteBuild ignores docs; typos corrected

Frequently asked questions

What is the difference between gMCPLite and simtrial?

Both compete on the same themes — clinical-trials — within Analytics. gMCPLite and simtrial 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 simtrial?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gMCPLite and simtrial 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 simtrial?

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