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Comparison · Infra & APIs

PINstimation vs statpsych

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

Shared themes:r-package

PINstimation vs statpsych: at a glance

FeaturePINstimationstatpsych
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmarket-microstructure, finance, informed-trading, r-packagepsychometrics, confidence-intervals, sample-size, statistical-power
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is PINstimation?

A market-microstructure toolkit that keeps adding estimators as the papers land.

PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.

Read the full PINstimation 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 →

PINstimation vs statpsych: editorial side-by-side

P
PINstimation
INFRA · APIS
0.0

A market-microstructure toolkit that keeps adding estimators as the papers land.

◆ Current state

PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.

◆ Where it's heading

Each release tracks the literature: a Bayesian PIN estimator from Griffin et al., an improved VPIN from Ke and Lin, initial-parameter generation realigned to Ersan and Ghachem. The other steady thread is data handling — matrix inputs so the estimators compose with rolling windows, user-specified aggregation frequencies, and now quote leads as well as lags. The three-year gap between 0.1.2 and 0.2.0 makes this a slow, publication-paced package rather than an actively developed one.

◆ Prediction

On this pattern the next release adds whatever estimator the authors publish next, since two of the three feature releases here implement a specific paper. Nothing in the entries points to a change in the package's structure.

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 PINstimation 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 PINstimation or statpsych.

See all PINstimation alternatives → · See all statpsych alternatives →

Recent activity from PINstimation 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. 8mo agoPINstimationPINstimation 0.2.0
  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 agostatpsychPower calculations added for means, proportions and correlations
  8. 3y agoPINstimationPINstimation v0.1.2
  9. 3y agoPINstimationPINstimation v0.1.1
  10. 3y agoPINstimationPINstimation v0.0.1-beta
  11. 3y agoPINstimationPINstimation v0.1.0

Frequently asked questions

What is the difference between PINstimation and statpsych?

Both compete on the same themes — r-package — within Infra & APIs. PINstimation 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 PINstimation better than statpsych?

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

Top PINstimation alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PINstimation alternatives" section above for the current picks, or visit /alternatives/pinstimation 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.