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mlr3filters vs parameters

A side-by-side editorial comparison of mlr3filters and parameters — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3filters vs parameters: at a glance

Featuremlr3filtersparameters
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfeature-selection, mlr3, machine-learning, r-statseasystats, model-parameters, standardization, mixed-models
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is mlr3filters?

mlr3filters grows one feature-selection filter at a time

mlr3filters provides feature-filter methods to mlr3. Its releases follow a consistent shape: one or two new filters, broader feature-type support on existing ones, and error-message work. Boruta and a univariate Cox filter arrived in 0.8.0; 0.9.0 extended Boruta to logical, factor and ordered features and moved param_set to an active binding.

Read the full mlr3filters 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 →

mlr3filters vs parameters: editorial side-by-side

M
mlr3filters
ANALYTICS
0.0

mlr3filters grows one feature-selection filter at a time

◆ Current state

mlr3filters provides feature-filter methods to mlr3. Its releases follow a consistent shape: one or two new filters, broader feature-type support on existing ones, and error-message work. Boruta and a univariate Cox filter arrived in 0.8.0; 0.9.0 extended Boruta to logical, factor and ordered features and moved param_set to an active binding.

◆ Where it's heading

This is incremental infrastructure that tracks mlr3's own conventions — cli printing, prototype-based dictionaries, featureless learners as defaults — while slowly widening which data types each filter accepts. Nothing in the recent history suggests a change of scope.

◆ Prediction

Expect another filter or two plus continued feature-type broadening, keeping pace with mlr3 core conventions.

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 mlr3filters 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 mlr3filters or parameters.

See all mlr3filters alternatives → · See all parameters alternatives →

Recent activity from mlr3filters 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. 3mo agomlr3filtersFilter dictionary listing now uses prototypes
  5. 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
  6. 11mo agomlr3filtersBoruta handles logical, factor and ordered features
  7. 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
  8. 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
  9. 2y agomlr3filtersBoruta and univariate Cox filters added
  10. 3y agomlr3filtersMissing-value tagging and wider CarScore feature support
  11. 3y agomlr3filtersMissing-value checks and featureless learner defaults
  12. 3y agomlr3filtersSurvival CAR score filter and pipeline documentation

Frequently asked questions

What is the difference between mlr3filters and parameters?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3filters 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 mlr3filters better than parameters?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3filters 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 mlr3filters?

Top mlr3filters alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3filters alternatives" section above for the current picks, or visit /alternatives/mlr3filters 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.