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Comparison · Infra & APIs
prova vs statpsych
A side-by-side editorial comparison of prova and statpsych — release velocity, themes, recent moves, and the top alternatives to consider.
prova vs statpsych: at a glance
What is prova?
prova adds expected-utility calculation on top of its Bayesian inference core.
prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.
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.
prova vs statpsych: editorial side-by-side
prova
6.3INFRA · APIS
prova adds expected-utility calculation on top of its Bayesian inference core.
◆ Current state
prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.
◆ Where it's heading
Two arcs run in parallel. One compresses the API: learnt= became K=, flexiplot() and plotquantiles() merged into pplot(), and omitting arguments such as Y=, X= and K= got simpler. The other extends reach — mutualinfoF() for finite-domain variates, quantile accuracy reported alongside mutual information, and now a decision-theoretic layer sitting on the inference the package already did.
◆ Prediction
exputility() shipping with print() and plot() methods matches how the probability and mutual-information classes were treated, so utilities are likely to get the same class-based handling as they mature. The notes do not say whether decision analysis extends beyond expected utility.
statpsych
0.0INFRA · APIS
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 prova 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 prova or statpsych.
tabular
tabular went from clinical tables to complete TFL output in under two months.
usmapdata
usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
glcdp
glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.
checkhelper
checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
rstudio.prefs
Four years dormant, rstudio.prefs returns under a new maintainer.
See all prova alternatives → · See all statpsych alternatives →
Recent activity from prova and statpsych
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 13d agoprovaexputility() brings decision analysis into prova ⚡
- 20d agoprovaCumulative 2.x notes, plus hist() and mutual-information changes
- 23d agoprovalearnt= becomes K=; pplot() replaces two plot functions
- 27d agoprovaFix for pre-existing parallel clusters
- 28d agoprovaextraDistr dropped; mutual-information objects get a class
- 1mo agostatpsychKendall tau, logistic fit measures added; three names retired
- 7mo agostatpsychIntraclass correlation and diversity indices gain full coverage
- 1y agostatpsychstatpsych 1.8
- 2y agostatpsychCorrelation tests and finite-population corrections added
- 2y agostatpsychCoefficient of variation and 2x2 within-subjects effects
- 3y agostatpsychPower calculations added for means, proportions and correlations
Frequently asked questions
What is the difference between prova and statpsych?
They serve adjacent needs but don't currently overlap on shipped themes. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is prova better than statpsych?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to prova?
Top prova alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "prova alternatives" section above for the current picks, or visit /alternatives/prova 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.