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Comparison · Analytics
modeldata vs parameters
A side-by-side editorial comparison of modeldata and parameters — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
modeldata vs parameters: at a glance
What is modeldata?
The tidymodels example-data package grows one dataset at a time, on nobody's schedule
modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.
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.
modeldata vs parameters: editorial side-by-side
modeldata
0.0ANALYTICS
The tidymodels example-data package grows one dataset at a time, on nobody's schedule
◆ Current state
modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.
◆ Where it's heading
Two lines run through the history: broadening coverage of task types — ordinal classification, multinomial, regression, QSAR-style chemistry data — and building out synthetic simulation so tutorials can demonstrate a method without shipping a real dataset for it. The simulation side has grown from a single regression generator into a family with logistic and multinomial variants and a keep_truth option that exposes the error-free outcome. Infrastructure changes appear only when the wider tidyverse moves, as the base-pipe transition shows.
◆ Prediction
The pattern points to another simulation method or a dataset filling a task type the collection still lacks, rather than any change in what the package does.
parameters
0.0ANALYTICS
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 modeldata 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 modeldata or parameters.
writexl
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all modeldata alternatives → · See all parameters alternatives →
Recent activity from modeldata and parameters
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoparametersparameters 0.29.2 extends lavaan support and fixes label dropping
- 2mo agoparametersparameters 0.29.1 adds a cluster argument and fixes vcov handling
- 3mo agoparametersparameters 0.29.0 stops standardizing the intercept in post-hoc methods
- 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
- 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
- 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
- 11mo agomodeldatamodeldata 1.5.1 fixes documentation and column-name typos
- 1y agomodeldatamodeldata 1.5.0 adds a Worley (1987) regression simulation
- 2y agomodeldatamodeldata 1.4.0 adds the cat_adoption data set
- 2y agomodeldatamodeldata 1.3.0 adds the deliveries data set
- 3y agomodeldatamodeldata 1.2.0 adds eight data sets across regression and classification
- 3y agomodeldatamodeldata 1.1.0 adds logistic and multinomial simulation plus keep_truth
Frequently asked questions
What is the difference between modeldata and parameters?
Both compete on the same themes — r-package — within Analytics. modeldata 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 modeldata better than parameters?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modeldata 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 modeldata?
Top modeldata alternatives in Analytics are ranked by recent ship velocity. Browse the "modeldata alternatives" section above for the current picks, or visit /alternatives/modeldata 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.