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Comparison · Infra & APIs

smam vs stochvol

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

Shared themes:rcppmaintenance

smam vs stochvol: at a glance

Featuresmamstochvol
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesanimal-movement, stochastic-processes, state-space-models, rcppbayesian-inference, stochastic-volatility, mcmc, rcpp
Last editorial update4h ago39m 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 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 →

smam vs stochvol: 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
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 smam 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 smam or stochvol.

See all smam alternatives → · See all stochvol alternatives →

Recent activity from smam and stochvol

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

  1. 5mo agostochvolSampler crash with constant parameters fixed, plus RcppArmadillo 15
  2. 5mo agosmamRcpp attributes regenerated to guard Rf_error calls
  3. 1y agostochvolTwo CRAN check notes cleared
  4. 1y agostochvolProposal variance corrected in the centered parameterisation
  5. 2y agostochvolCRAN stochvol 3.2.4
  6. 2y agosmamMaintainer email updated
  7. 2y agosmamCompiler format-security warning resolved
  8. 2y agostochvolRolling-window indexing and inverse gamma prior validation fixed
  9. 3y agosmamestimate and vcov generics unify all fit functions
  10. 3y agostochvolCore C++ sampler routines exported for reuse
  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 stochvol?

Both compete on the same themes — rcpp, maintenance — within Infra & APIs. smam 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 smam better than stochvol?

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