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feasts vs parameters

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

feasts vs parameters: at a glance

Featurefeastsparameters
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime-series, r-stats, deprecation, package-spliteasystats, model-parameters, standardization, mixed-models
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is feasts?

feasts is splitting itself in two, moving every plot into ggtime

feasts provides feature extraction and statistics for tsibble time series. The last two releases are dominated by one decision: all of its gg_*() plotting functions are being moved out into a separate ggtime package. 0.4.2 announced the deprecation and 0.5.0 makes ggtime a dependency with soft-deprecation messages on every re-export.

Read the full feasts trajectory →

What is parameters?

easystats' parameters package absorbs one more model class every few weeks

parameters extracts and formats coefficients from an enormous range of R model objects, and its releases read as a running ledger of that range expanding — lavaan and lavaan.mi, survey, lcmm, glmmTMB, fixest, marginaleffects, ordinal. Recent versions ship roughly monthly with a mix of new support, new arguments, and fixes for label handling and standard errors. The most consequential recent change is behavioral: post-hoc standardization no longer standardizes the intercept, setting it and its inferential statistics to NA.

Read the full parameters trajectory →

feasts vs parameters: editorial side-by-side

F
feasts
ANALYTICS
0.0

feasts is splitting itself in two, moving every plot into ggtime

◆ Current state

feasts provides feature extraction and statistics for tsibble time series. The last two releases are dominated by one decision: all of its gg_*() plotting functions are being moved out into a separate ggtime package. 0.4.2 announced the deprecation and 0.5.0 makes ggtime a dependency with soft-deprecation messages on every re-export.

◆ Where it's heading

The package is narrowing to its stated purpose — features and statistics — and shedding graphics entirely over a deliberately slow two-year window. Everything else in the recent history is ggplot2 compatibility work and narrow seasonal-plot bug fixes, which is consistent with a maintainer trimming surface area rather than growing it.

◆ Prediction

The next releases should be compatibility upkeep while the ggtime deprecation runs its course; the re-exports stay until the announced window closes.

P
parameters
ANALYTICS
0.0

easystats' parameters package absorbs one more model class every few weeks

◆ Current state

parameters extracts and formats coefficients from an enormous range of R model objects, and its releases read as a running ledger of that range expanding — lavaan and lavaan.mi, survey, lcmm, glmmTMB, fixest, marginaleffects, ordinal. Recent versions ship roughly monthly with a mix of new support, new arguments, and fixes for label handling and standard errors. The most consequential recent change is behavioral: post-hoc standardization no longer standardizes the intercept, setting it and its inferential statistics to NA.

◆ Where it's heading

The package's job is to be the universal adapter for model output, so its roadmap is effectively set by what the R modelling ecosystem produces. Two threads are visible beyond coverage: getting standard errors right for awkward cases such as frailty terms and robust vcov matrices, and getting labels right when factors are converted on the fly or character variables appear in a formula. Interoperability inside easystats keeps tightening, with equivalence_test() gaining methods for modelbased objects.

◆ Prediction

Given the cadence, the next release will most likely add another model class alongside label and standard-error fixes rather than change how the package works.

Alternatives to feasts and parameters

Other Analytics 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 feasts or parameters.

See all feasts alternatives → · See all parameters alternatives →

Recent activity from feasts and parameters

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

  1. 1mo agoparametersparameters 0.29.2 extends lavaan support and fixes label dropping
  2. 2mo agoparametersparameters 0.29.1 adds a cluster argument and fixes vcov handling
  3. 3mo agoparametersparameters 0.29.0 stops standardizing the intercept in post-hoc methods
  4. 6mo agofeastsfeasts moves its plots to ggtime behind a 2-year deprecation
  5. 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
  6. 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
  7. 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
  8. 11mo agofeastsggplot2 4.0.0 compatibility and the ggtime deprecation notice
  9. 1y agofeastsgg_season() fix for sub-weekly daily data
  10. 1y agofeastsImpulse-response plots and Johansen cointegration tests
  11. 2y agofeastsPatch for ggplot2 3.5.0 breaking changes
  12. 3y agofeastsCRAN patch for S3 method consistency

Frequently asked questions

What is the difference between feasts and parameters?

They serve adjacent needs but don't currently overlap on shipped themes. feasts and parameters 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 feasts better than parameters?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. feasts and parameters 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 Analytics products to evaluate alongside.

What are the best alternatives to feasts?

Top feasts alternatives in Analytics are ranked by recent ship velocity. Browse the "feasts alternatives" section above for the current picks, or visit /alternatives/feasts for the full list with editorial commentary on each.

What are the best alternatives to parameters?

Top parameters alternatives in Analytics are ranked by recent ship velocity. Browse the "parameters alternatives" section above for the current picks, or visit /alternatives/parameters-r for the full list with editorial commentary on each.