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Comparison · Analytics
DoseFinding vs gMCPLite
A side-by-side editorial comparison of DoseFinding and gMCPLite — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:clinical-trials
DoseFinding vs gMCPLite: at a glance
What is DoseFinding?
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.
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.
DoseFinding vs gMCPLite: editorial side-by-side
DoseFinding
0.0ANALYTICS
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
◆ Current state
DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.
◆ Where it's heading
The pattern before the handover was maintenance — R-devel compliance, a bug fix, a link. After it, each release carries a named methodological addition with an acknowledged contributor, plus documentation to match: a longitudinal analysis vignette shipped alongside the interim power work. Housekeeping continues underneath, mostly clearing deprecated ggplot2 interfaces, aes_string in one release and qplot in the next.
◆ Prediction
Given the last two releases each added one method with a supporting vignette, expect the next to follow the same shape. Both additions so far extend the package beyond fixed dose-response fitting, so adaptive and interim methodology is the more likely direction.
gMCPLite
0.0ANALYTICS
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 DoseFinding 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 DoseFinding or gMCPLite.
webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul
crul took mocking back from webmockr and made it a property of the client itself
dendroNetwork
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
cloudml
Six years since the last functional change, and Google renamed the service it wraps in the release before that
See all DoseFinding alternatives → · See all gMCPLite alternatives →
Recent activity from DoseFinding and gMCPLite
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
- 11mo agogMCPLiteVisual regression tests added for hGraph()
- 1y agoDoseFindingConditional and predictive power for interim analyses
- 1y agoDoseFindingModel averaging arrives for dose-response fitting ⚡
- 1y agoDoseFindingPackage moves to openpharma under new maintainership
- 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
- 2y agogMCPLitecairo_pdf device for Unicode in examples
- 2y agoDoseFindingCompliance update for R-devel
- 2y agogMCPLitepkgdown tabset rendering fixed
- 3y agoDoseFindingpowMCTBinCount bug fix
- 3y agogMCPLiteBuild ignores docs; typos corrected
Frequently asked questions
What is the difference between DoseFinding and gMCPLite?
Both compete on the same themes — clinical-trials — within Analytics. DoseFinding 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 DoseFinding better than gMCPLite?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DoseFinding 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 DoseFinding?
Top DoseFinding alternatives in Analytics are ranked by recent ship velocity. Browse the "DoseFinding alternatives" section above for the current picks, or visit /alternatives/dosefinding 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.