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Comparison · Infra & APIs

jSDM vs states

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

jSDM vs states: at a glance

FeaturejSDMstates
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesspecies-distribution-models, bayesian, gibbs-sampling, ecologypolitical-science, panel-data, country-codes, datasets
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is states?

State-panel tooling holding steady since its 2020 data and ergonomics release.

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

Read the full states trajectory →

jSDM vs states: editorial side-by-side

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.

S
states
INFRA · APIS
0.0

State-panel tooling holding steady since its 2020 data and ergonomics release.

◆ Current state

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

◆ Where it's heading

The package has reached the point where its own data and API are settled and the release trigger is upstream churn in the tidyverse. What movement there is goes toward making the two state lists interchangeable, with the microstates coding carried from G&W onto the COW data as the clearest example, rather than toward new datasets.

◆ Prediction

The next release is most likely another compatibility pass; a data refresh would be the signal that the package is active again.

Alternatives to jSDM and states

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 jSDM or states.

See all jSDM alternatives → · See all states alternatives →

Recent activity from jSDM and states

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

  1. 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
  2. 0y agostatesplot_missing() test fixed for the next ggplot2
  3. 2y agostatesggplot2 and dplyr deprecation cleanup
  4. 2y agostatesBundled state data stripped to plain data frames
  5. 3y agojSDMSpecies traits, constrained loadings and association plots
  6. 3y agojSDMFirst release: C++ Gibbs sampler for joint species models
  7. 3y agojSDMResidual correlation functions can filter to significant values
  8. 3y agojSDMjSDM_gaussian() fits continuous data with overdispersion
  9. 3y agojSDMFour versions of CRAN check corrections
  10. 5y agostatesMicrostate coding for COW data and state_panel() shortcuts
  11. 7y agostatesSimpler defaults for state_panel() and plot_missing()

Frequently asked questions

What is the difference between jSDM and states?

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

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

What are the best alternatives to states?

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