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cfr vs gMCPLite

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

cfr vs gMCPLite: at a glance

FeaturecfrgMCPLite
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, severity-estimation, outbreak-analytics, epiversemultiple-comparisons, clinical-trials, r-language, java-free
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

What is cfr?

cfr packaged delay-corrected severity estimation, then went quiet on maintenance.

The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.

Read the full cfr 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 →

cfr vs gMCPLite: editorial side-by-side

C
cfr
ANALYTICS
0.0

cfr packaged delay-corrected severity estimation, then went quiet on maintenance.

◆ Current state

The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.

◆ Where it's heading

The methodological work is done and consolidated: likelihood approximation is now selected automatically from outbreak size and an initial severity estimate, and the internals were renamed with a dot prefix to close the public surface down to cfr_static(), cfr_rolling() and the data-preparation generic. Releases since have been documentation and compatibility only.

◆ Prediction

The 0.1.0 notes flagged time-varying ascertainment as future work and it has not appeared in the two releases since; nothing in these entries indicates when or whether it lands.

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 cfr 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 cfr or gMCPLite.

See all cfr alternatives → · See all gMCPLite alternatives →

Recent activity from cfr and gMCPLite

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

  1. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  2. 11mo agogMCPLiteVisual regression tests added for hGraph()
  3. 1y agocfrR-devel difftime patch and an individual-data vignette
  4. 2y agocfrSeverity estimator picks its own likelihood approximation
  5. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  6. 2y agocfrDelay-corrected severity and ascertainment estimation on CRAN
  7. 2y agogMCPLitecairo_pdf device for Unicode in examples
  8. 2y agogMCPLitepkgdown tabset rendering fixed
  9. 3y agogMCPLiteBuild ignores docs; typos corrected

Frequently asked questions

What is the difference between cfr and gMCPLite?

They serve adjacent needs but don't currently overlap on shipped themes. cfr and gMCPLite 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 cfr better than gMCPLite?

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

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