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statpsych vs stochvol

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

statpsych vs stochvol: at a glance

Featurestatpsychstochvol
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themespsychometrics, confidence-intervals, sample-size, statistical-powerbayesian-inference, stochastic-volatility, mcmc, rcpp
Last editorial update4h ago42m ago
WebsiteVisit →Visit →

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 →

What is stochvol?

A Bayesian volatility sampler in its maintenance decade, paying for its own speed

stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.

Read the full stochvol trajectory →

statpsych vs stochvol: editorial side-by-side

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.

S
stochvol
INFRA · APIS
0.0

A Bayesian volatility sampler in its maintenance decade, paying for its own speed

◆ Current state

stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.

◆ Where it's heading

This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.

◆ Prediction

Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.

Alternatives to statpsych and stochvol

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 statpsych or stochvol.

See all statpsych alternatives → · See all stochvol alternatives →

Recent activity from statpsych and stochvol

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

  1. 1mo agostatpsychKendall tau, logistic fit measures added; three names retired
  2. 5mo agostochvolSampler crash with constant parameters fixed, plus RcppArmadillo 15
  3. 7mo agostatpsychIntraclass correlation and diversity indices gain full coverage
  4. 1y agostochvolTwo CRAN check notes cleared
  5. 1y agostatpsychstatpsych 1.8
  6. 1y agostochvolProposal variance corrected in the centered parameterisation
  7. 2y agostatpsychCorrelation tests and finite-population corrections added
  8. 2y agostochvolCRAN stochvol 3.2.4
  9. 2y agostatpsychCoefficient of variation and 2x2 within-subjects effects
  10. 2y agostochvolRolling-window indexing and inverse gamma prior validation fixed
  11. 3y agostatpsychPower calculations added for means, proportions and correlations
  12. 3y agostochvolCore C++ sampler routines exported for reuse

Frequently asked questions

What is the difference between statpsych and stochvol?

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

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

What are the best alternatives to stochvol?

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