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Comparison · Infra & APIs

JointFPM vs rsofun

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

JointFPM vs rsofun: at a glance

FeatureJointFPMrsofun
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, recurrent-events, parametric-models, api-stabilityecosystem-modelling, carbon-isotopes, land-use-change, fortran
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 rsofun?

An ecosystem model starts tracking carbon isotopes and land-use change.

rsofun wraps the P-model and BiomeE vegetation models in R with Fortran cores, covering photosynthesis, water balance and forest demography, plus Bayesian calibration. The 5.1.0 release is the first in the window to widen what the models simulate rather than reorganise them. Before it, the history is renaming, cost-function rewrites and output-format consistency work.

Read the full rsofun trajectory →

JointFPM vs rsofun: 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.

R
rsofun
INFRA · APIS
0.0

An ecosystem model starts tracking carbon isotopes and land-use change.

◆ Current state

rsofun wraps the P-model and BiomeE vegetation models in R with Fortran cores, covering photosynthesis, water balance and forest demography, plus Bayesian calibration. The 5.1.0 release is the first in the window to widen what the models simulate rather than reorganise them. Before it, the history is renaming, cost-function rewrites and output-format consistency work.

◆ Where it's heading

The direction is from a calibration harness toward a model that can answer different questions: isotope fractionation now comes out of the P-model, BiomeE handles land use and land-use change, and forcing can be recycled when a simulation outruns its data. Version stamps are unreliable here, with a v5.0 tag carrying only a build fix and predating v4.4, so the arc reads better through content than through numbering.

◆ Prediction

The isotope work is explicitly unfinished, with a constant atmospheric signature standing in for daily d13c forcing, so the next likely step is accepting that as model input.

Alternatives to JointFPM and rsofun

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 rsofun.

See all JointFPM alternatives → · See all rsofun alternatives →

Recent activity from JointFPM and rsofun

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

  1. 10mo agorsofunCarbon isotope tracking and LULUC support across both models
  2. 1y agoJointFPMmean_no() promoted to a stable interface
  3. 1y agorsofunLM3-PPA renamed BiomeE; cost function and stress functions rewritten
  4. 1y agorsofunParallel make fix on the v5.0 tag
  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
  9. 2y agorsofuncnmodel 0.1 research snapshot tag
  10. 4y agorsofunFortran crash guards and consistent P-model variable names
  11. 4y agorsofunPublic release following a code refactor

Frequently asked questions

What is the difference between JointFPM and rsofun?

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

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

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