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Comparison · Infra & APIs

gofedf vs JointFPM

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

gofedf vs JointFPM: at a glance

FeaturegofedfJointFPM
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesgoodness-of-fit, empirical-distribution, hypothesis-testing, extensibilitysurvival-analysis, recurrent-events, parametric-models, api-stability
Last editorial update2h ago45m ago
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What is gofedf?

A two-test goodness-of-fit package opens itself up to any weight function

gofedf runs goodness-of-fit tests built on the empirical distribution function. Its three releases trace a short, clean arc: existence in 2023, then p-values computed from an analytical solution of the integral equation in 2024, then in 2026 a user-supplied weight function that replaces the fixed menu. Cramer-von Mises and Anderson-Darling are now two points in a family rather than the two options.

Read the full gofedf trajectory →

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 →

gofedf vs JointFPM: editorial side-by-side

G
gofedf
INFRA · APIS
0.0

A two-test goodness-of-fit package opens itself up to any weight function

◆ Current state

gofedf runs goodness-of-fit tests built on the empirical distribution function. Its three releases trace a short, clean arc: existence in 2023, then p-values computed from an analytical solution of the integral equation in 2024, then in 2026 a user-supplied weight function that replaces the fixed menu. Cramer-von Mises and Anderson-Darling are now two points in a family rather than the two options.

◆ Where it's heading

The package is generalising rather than accumulating. Each release removed a hard-coded decision: first how eigenvalues are computed, offering both the analytical route and a matrix approximation; then which weight function defines the statistic at all. The maintainer's own framing in 1.1.0 is a contrast against what earlier versions would not let you do, which is the shape of a package aiming to become a framework.

◆ Prediction

An arbitrary weight function is the extensibility point that matters for EDF tests; what it lacks is calibration guidance, since Type I error behaviour was the argued benefit of the analytical eigenvalue route. Documented recommendations or diagnostics for user-chosen weights are the natural follow-up, though the entries do not announce one.

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.

Alternatives to gofedf and JointFPM

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 gofedf or JointFPM.

See all gofedf alternatives → · See all JointFPM alternatives →

Recent activity from gofedf and JointFPM

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

  1. 4mo agogofedfUser-supplied weight functions for Cramer-von Mises tests
  2. 1y agoJointFPMmean_no() promoted to a stable interface
  3. 1y agogofedfp-values from an analytical eigenvalue solution
  4. 2y agoJointFPMsummary() method and control arguments passed to rstpm2
  5. 2y agoJointFPMGaussian quadrature option for the mean-events integration
  6. 2y agoJointFPMStandardized marginal estimates plus input validation
  7. 2y agoJointFPMBug fixes for differences between mean-event functions
  8. 2y agogofedfFirst release of the gofedf package

Frequently asked questions

What is the difference between gofedf and JointFPM?

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

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

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

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.