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Comparison · Infra & APIs

JointFPM vs jSDM

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

JointFPM vs jSDM: at a glance

FeatureJointFPMjSDM
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, recurrent-events, parametric-models, api-stabilityspecies-distribution-models, bayesian, gibbs-sampling, ecology
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 jSDM?

Joint species distribution models in Gibbs-sampled C++, quiet since 2023.

jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.

Read the full jSDM trajectory →

JointFPM vs jSDM: 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.

J
jSDM
INFRA · APIS
0.0

Joint species distribution models in Gibbs-sampled C++, quiet since 2023.

◆ Current state

jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.

◆ Where it's heading

The package built out its model family quickly and then stopped: five of the six visible entries are stamped the same day as a backfilled archive, and the only later release says nothing about its contents. The direction the 0.2 line was heading, toward trait-mediated species effects and better convergence on latent variable models, has no visible continuation.

◆ Prediction

The feed does not support a confident prediction; the latest entry publishes no notes, so whether the package is still developing or only being kept CRAN-clean cannot be read from it.

Alternatives to JointFPM and jSDM

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 jSDM.

See all JointFPM alternatives → · See all jSDM alternatives →

Recent activity from JointFPM and jSDM

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

  1. 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
  2. 1y agoJointFPMmean_no() promoted to a stable interface
  3. 2y agoJointFPMsummary() method and control arguments passed to rstpm2
  4. 2y agoJointFPMGaussian quadrature option for the mean-events integration
  5. 2y agoJointFPMStandardized marginal estimates plus input validation
  6. 2y agoJointFPMBug fixes for differences between mean-event functions
  7. 3y agojSDMSpecies traits, constrained loadings and association plots
  8. 3y agojSDMFirst release: C++ Gibbs sampler for joint species models
  9. 3y agojSDMResidual correlation functions can filter to significant values
  10. 3y agojSDMjSDM_gaussian() fits continuous data with overdispersion
  11. 3y agojSDMFour versions of CRAN check corrections

Frequently asked questions

What is the difference between JointFPM and jSDM?

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

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

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