← Back to home
Comparison · Infra & APIs

JointFPM vs metagroup

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

JointFPM vs metagroup: at a glance

FeatureJointFPMmetagroup
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, recurrent-events, parametric-models, api-stabilitymeta-analysis, heterogeneity, clustering, first-release
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is JointFPM?

Recurrent-event modelling settles, with mean_no() promoted to stable.

JointFPM fits joint flexible parametric models for a recurrent event process alongside a competing terminal event, and predicts the mean number of events. The visible history runs from bug fixes on the earliest CRAN releases through standardization, integration options and a summary method, ending with mean_no() declared stable. Several changes arrived through outside pull requests.

Read the full JointFPM trajectory →

What is metagroup?

A first release that turns meta-analytic heterogeneity into interpretable subgroups.

metagroup reached CRAN in late August with a complete first release: eight grouping functions covering binary, continuous, correlational, proportion, incidence and generic inverse-variance data, plus interpretation and plotting on top. The two releases since are CRAN review housekeeping. The package has shipped nothing but its launch.

Read the full metagroup trajectory →

JointFPM vs metagroup: editorial side-by-side

J
JointFPM
INFRA · APIS
0.0

Recurrent-event modelling settles, with mean_no() promoted to stable.

◆ Current state

JointFPM fits joint flexible parametric models for a recurrent event process alongside a competing terminal event, and predicts the mean number of events. The visible history runs from bug fixes on the earliest CRAN releases through standardization, integration options and a summary method, ending with mean_no() declared stable. Several changes arrived through outside pull requests.

◆ Where it's heading

The arc runs from a working estimator toward a usable one: input validation and error messages first, then control over the numerical integration, then a summary method and pass-through arguments to the underlying rstpm2 fit. The latest release adds no code so much as a stability commitment to a function users were already calling.

◆ Prediction

With mean_no() stable, the next work most likely targets the prediction and standardization paths rather than the model fit itself.

M
metagroup
INFRA · APIS
0.0

A first release that turns meta-analytic heterogeneity into interpretable subgroups.

◆ Current state

metagroup reached CRAN in late August with a complete first release: eight grouping functions covering binary, continuous, correlational, proportion, incidence and generic inverse-variance data, plus interpretation and plotting on top. The two releases since are CRAN review housekeeping. The package has shipped nothing but its launch.

◆ Where it's heading

The design is a two-step pipeline, partitioning studies into homogeneous clusters and then characterising what those clusters have in common, which puts interpretation rather than detection at the centre. The follow-up releases suggest the author is still clearing the CRAN intake process rather than extending the method.

◆ Prediction

The next substantive release most likely broadens the interpretation side, since the grouping functions already cover the standard effect-size types.

Alternatives to JointFPM and metagroup

Other Infra & APIs 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 JointFPM or metagroup.

See all JointFPM alternatives → · See all metagroup alternatives →

Recent activity from JointFPM and metagroup

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

  1. 11mo agometagroupCRAN review feedback: description and documentation polish
  2. 11mo agometagroupLICENSE file removed for CRAN submission
  3. 11mo agometagroupFirst release: homogeneity-based subgrouping for meta-analysis
  4. 1y agoJointFPMmean_no() promoted to a stable interface
  5. 2y agoJointFPMsummary() method and control arguments passed to rstpm2
  6. 2y agoJointFPMGaussian quadrature option for the mean-events integration
  7. 2y agoJointFPMStandardized marginal estimates plus input validation
  8. 2y agoJointFPMBug fixes for differences between mean-event functions

Frequently asked questions

What is the difference between JointFPM and metagroup?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. JointFPM and metagroup 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to JointFPM?

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

What are the best alternatives to metagroup?

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