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Comparison · Infra & APIs

jSDM vs statpsych

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

jSDM vs statpsych: at a glance

FeaturejSDMstatpsych
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesspecies-distribution-models, bayesian, gibbs-sampling, ecologypsychometrics, confidence-intervals, sample-size, statistical-power
Last editorial update50m ago6h 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 statpsych?

A statistics catalogue for psychology that grows by the release and rarely changes shape.

statpsych supplies confidence intervals, hypothesis tests, power calculations and sample-size planning for the designs psychology researchers actually run, exposed as several hundred small named functions rather than a modelling framework. Version 2.0.0 adds eight functions across logistic model performance, Kendall tau-a intervals and sample sizes, intraclass correlation testing, Geary kurtosis and Mann-Whitney power, and retires three names in favour of generalised replacements. The major version number reflects those removals rather than a change in how the package is used.

Read the full statpsych trajectory →

jSDM vs statpsych: 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
statpsych
INFRA · APIS
0.0

A statistics catalogue for psychology that grows by the release and rarely changes shape.

◆ Current state

statpsych supplies confidence intervals, hypothesis tests, power calculations and sample-size planning for the designs psychology researchers actually run, exposed as several hundred small named functions rather than a modelling framework. Version 2.0.0 adds eight functions across logistic model performance, Kendall tau-a intervals and sample sizes, intraclass correlation testing, Geary kurtosis and Mann-Whitney power, and retires three names in favour of generalised replacements. The major version number reflects those removals rather than a change in how the package is used.

◆ Where it's heading

Every release in this window is the same shape: a list of new functions, occasionally a rename. The package grows by filling cells in a grid of estimand, design and inferential goal, and 2.0.0 is notable only for finally deleting the three names its generalised replacements had superseded. That makes it a reference library whose value is coverage and stability, not direction, and the entries give no sign of that changing.

◆ Prediction

Expect the accretion to continue along the same axes, with sample-size and power counterparts filled in for estimands that currently have interval functions but no planning ones. The 2.0.0 deletions suggest occasional consolidation passes when a generalised function makes older specific ones redundant.

Alternatives to jSDM and statpsych

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 statpsych.

See all jSDM alternatives → · See all statpsych alternatives →

Recent activity from jSDM and statpsych

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

  1. 1mo agostatpsychKendall tau, logistic fit measures added; three names retired
  2. 7mo agostatpsychIntraclass correlation and diversity indices gain full coverage
  3. 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
  4. 1y agostatpsychstatpsych 1.8
  5. 2y agostatpsychCorrelation tests and finite-population corrections added
  6. 2y agostatpsychCoefficient of variation and 2x2 within-subjects effects
  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
  12. 3y agostatpsychPower calculations added for means, proportions and correlations

Frequently asked questions

What is the difference between jSDM and statpsych?

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

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

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