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Comparison · Infra & APIs

smam vs statpsych

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

smam vs statpsych: at a glance

Featuresmamstatpsych
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesanimal-movement, stochastic-processes, state-space-models, rcpppsychometrics, confidence-intervals, sample-size, statistical-power
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is smam?

Animal-movement models in R, where new stochastic processes arrive years apart.

smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.

Read the full smam 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 →

smam vs statpsych: editorial side-by-side

S
smam
INFRA · APIS
0.0

Animal-movement models in R, where new stochastic processes arrive years apart.

◆ Current state

smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.

◆ Where it's heading

This package grows by adding process models, and it does so rarely. Between the moving-moving process in 2021 and now, the only interface-level change has been the 0.7.0 generics that gave every fit function a common way to retrieve estimates and their covariance, which is consolidation of an accumulated collection rather than expansion of it. The three releases since are entirely reactive to toolchain and CRAN pressure, and they arrive in step with the maintainer's other package coga, which received the same Rcpp guard within twenty minutes on the same day.

◆ Prediction

Expect further releases to be CRAN and Rcpp maintenance unless a new movement process is published, which is what has historically prompted a minor version here. The generics added in 0.7.0 give any future process model a ready-made interface to slot into.

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 smam 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 smam or statpsych.

See all smam alternatives → · See all statpsych alternatives →

Recent activity from smam and statpsych

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

  1. 1mo agostatpsychKendall tau, logistic fit measures added; three names retired
  2. 5mo agosmamRcpp attributes regenerated to guard Rf_error calls
  3. 7mo agostatpsychIntraclass correlation and diversity indices gain full coverage
  4. 1y agostatpsychstatpsych 1.8
  5. 2y agostatpsychCorrelation tests and finite-population corrections added
  6. 2y agosmamMaintainer email updated
  7. 2y agostatpsychCoefficient of variation and 2x2 within-subjects effects
  8. 2y agosmamCompiler format-security warning resolved
  9. 2y agosmamestimate and vcov generics unify all fit functions
  10. 3y agostatpsychPower calculations added for means, proportions and correlations
  11. 5y agosmamMoving-moving process added with simulation and estimation
  12. 5y agosmamVariance estimators adjusted; example dataset added

Frequently asked questions

What is the difference between smam and statpsych?

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

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

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