rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
Comparison · Infra & APIs
smam vs statsExpressions
A side-by-side editorial comparison of smam and statsExpressions — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:maintenance
smam vs statsExpressions: at a glance
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.
What is statsExpressions?
A statistics backend whose release history is mostly other people's weather
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
smam vs statsExpressions: editorial side-by-side
smam
0.0INFRA · APIS
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.
statsExpressions
0.0INFRA · APIS
A statistics backend whose release history is mostly other people's weather
◆ Current state
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
◆ Where it's heading
This is a component settling into place beneath a larger package rather than a product with its own roadmap. New statistical content arrives rarely and narrowly — an exact-p toggle, one post-hoc function — while the recurring work is keeping expressions correct as the easystats stack shifts underneath. The one bug class it keeps returning to is rendering: p-values of exactly zero, decimal commas that plotmath parses as list separators.
◆ Prediction
Coupled this tightly, the next release is most likely another compatibility pass timed to an easystats or ggstatsplot version rather than new tests. Nothing in these entries signals an independent feature direction.
Alternatives to smam and statsExpressions
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 statsExpressions.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
stochvol
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all smam alternatives → · See all statsExpressions alternatives →
Recent activity from smam and statsExpressions
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
- 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
- 5mo agosmamRcpp attributes regenerated to guard Rf_error calls
- 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
- 6mo agostatsExpressionsAdapts to changes in the easystats packages
- 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
- 1y agostatsExpressionscentrality_description() follows the new easystats API
- 2y agosmamMaintainer email updated
- 2y agosmamCompiler format-security warning resolved
- 3y agosmamestimate and vcov generics unify all fit functions
- 5y agosmamMoving-moving process added with simulation and estimation ⚡
- 5y agosmamVariance estimators adjusted; example dataset added
Frequently asked questions
What is the difference between smam and statsExpressions?
Both compete on the same themes — maintenance — within Infra & APIs. smam and statsExpressions 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 statsExpressions?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. smam and statsExpressions 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 statsExpressions?
Top statsExpressions alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statsExpressions alternatives" section above for the current picks, or visit /alternatives/statsexpressions for the full list with editorial commentary on each.