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parameters vs tidyposterior

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

Shared themes:r-package

parameters vs tidyposterior: at a glance

Featureparameterstidyposterior
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseasystats, model-parameters, standardization, mixed-modelstidymodels, bayesian-analysis, model-comparison, maintenance-mode
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is tidyposterior?

A finished Bayesian model-comparison package in pure maintenance mode

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

Read the full tidyposterior trajectory →

parameters vs tidyposterior: editorial side-by-side

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.

T
tidyposterior
ANALYTICS
0.0

A finished Bayesian model-comparison package in pure maintenance mode

◆ Current state

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

◆ Where it's heading

The package tracks its dependencies rather than developing on its own line, and the dependencies do the moving: rstanarm API changes, dplyr 1.0.0, testthat 3e, ggplot2. Its integration surface widened once, when perf_mod() gained methods for tuning parameter objects from tune, finetune, and workflowsets, and has been stable since. This is what a completed package in an active ecosystem looks like.

◆ Prediction

Expect the next release to be triggered by an upstream change rather than by anything tidyposterior wants to do differently.

Alternatives to parameters and tidyposterior

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 parameters or tidyposterior.

See all parameters alternatives → · See all tidyposterior alternatives →

Recent activity from parameters and tidyposterior

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. 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
  5. 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
  6. 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
  7. 1y agotidyposteriortidyposterior 1.0.1.9000 prepares for an upcoming ggplot2 release
  8. 2y agotidyposteriortidyposterior 1.0.1 fixes a test broken under R-devel
  9. 4y agotidyposteriortidyposterior 1.0.0 modernizes internals to pivot_longer and testthat 3e
  10. 5y agotidyposteriortidyposterior 0.1.0 adds perf_mod() methods for tune and workflowsets
  11. 6y agotidyposteriortidyposterior 0.0.3 returns tibbles and adds a formula override
  12. 7y agotidyposteriortidyposterior 0.0.2 removes example RData files for CRAN

Frequently asked questions

What is the difference between parameters and tidyposterior?

Both compete on the same themes — r-package — within Analytics. parameters and tidyposterior 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 parameters better than tidyposterior?

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

What are the best alternatives to tidyposterior?

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