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mlr3mbo vs parameters

A side-by-side editorial comparison of mlr3mbo and parameters — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3mbo vs parameters: at a glance

Featuremlr3mboparameters
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesbayesian-optimization, mlr3, hyperparameter-tuning, r-statseasystats, model-parameters, standardization, mixed-models
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is mlr3mbo?

mlr3mbo picked its defaults from a benchmark study, not from taste

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

Read the full mlr3mbo 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 →

mlr3mbo vs parameters: editorial side-by-side

M
mlr3mbo
ANALYTICS
2.5

mlr3mbo picked its defaults from a benchmark study, not from taste

◆ Current state

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

◆ Where it's heading

The package has moved from a toolkit that expected users to assemble a Bayesian optimisation loop into one with a defensible default loop, and the recent fixes — warm-start sizing on multi-objective archives, silently discarded terminators, stale x_domain values — are the consequences of more people running the default path.

◆ Prediction

Expect continued hardening of the acquisition-optimiser classes rather than new acquisition functions.

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 mlr3mbo 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 mlr3mbo or parameters.

See all mlr3mbo alternatives → · See all parameters alternatives →

Recent activity from mlr3mbo and parameters

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

  1. 23d agomlr3mboAcquisition optimiser fixes for warm starts and archives
  2. 1mo agoparametersparameters 0.29.2 extends lavaan support and fixes label dropping
  3. 2mo agoparametersparameters 0.29.1 adds a cluster argument and fixes vcov handling
  4. 3mo agoparametersparameters 0.29.0 stops standardizing the intercept in post-hoc methods
  5. 3mo agomlr3mboDictionary lookup and restart-limit fixes
  6. 4mo agomlr3mborush 1.0.0 compatibility and Surrogate$check()
  7. 5mo agomlr3mbomlr3mbo 1.0.0 ships benchmark-derived default settings
  8. 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
  9. 10mo agomlr3mbomlr3learners 0.13.0 compatibility
  10. 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
  11. 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
  12. 11mo agomlr3mboMaintainer change and mlr3pipelines 0.9.0 upkeep

Frequently asked questions

What is the difference between mlr3mbo and parameters?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3mbo is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is mlr3mbo better than parameters?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3mbo is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to mlr3mbo?

Top mlr3mbo alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3mbo alternatives" section above for the current picks, or visit /alternatives/mlr3mbo 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.