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bayestestR vs desirability2

A side-by-side editorial comparison of bayestestR and desirability2 — release velocity, themes, recent moves, and the top alternatives to consider.

bayestestR vs desirability2: at a glance

FeaturebayestestRdesirability2
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian, diagnostics, stan, easystatstidymodels, multi-objective optimization, model selection, desirability functions
Last editorial update3h ago55m ago
WebsiteVisit →Visit →

What is bayestestR?

Bayesian diagnostics get stricter defaults while the Stan backend list widens

bayestestR is the diagnostics and hypothesis-testing layer of the easystats stack, and its recent releases have concentrated on two things: reporting the right uncertainty numbers by default, and accepting posterior draws from more sources. The 0.18.x line added CmdStanFit support alongside the existing rstanarm/brms paths and switched effective-sample-size reporting to tail-ESS. Bug-fix releases in between are mostly CRAN-check maintenance.

Read the full bayestestR trajectory →

What is desirability2?

desirability2 is making multi-metric model selection a first-class tidymodels step.

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

Read the full desirability2 trajectory →

bayestestR vs desirability2: editorial side-by-side

B
bayestestR
ANALYTICS
0.0

Bayesian diagnostics get stricter defaults while the Stan backend list widens

◆ Current state

bayestestR is the diagnostics and hypothesis-testing layer of the easystats stack, and its recent releases have concentrated on two things: reporting the right uncertainty numbers by default, and accepting posterior draws from more sources. The 0.18.x line added CmdStanFit support alongside the existing rstanarm/brms paths and switched effective-sample-size reporting to tail-ESS. Bug-fix releases in between are mostly CRAN-check maintenance.

◆ Where it's heading

The package is converging on a single posture: work with raw MCMC draws from anywhere, and report the diagnostic that actually governs the interval being shown. Successive releases have swapped defaults rather than added surface area, and the efficiency work in 0.16.x aimed squarely at large brms and rstanarm fits. Output formatting is drifting toward the shared easystats display() and tinytable path.

◆ Prediction

Expect continued backend coverage on the Stan side and further alignment of print/display behavior with insight and the rest of easystats; the entries do not show a push into new inference methods.

D
desirability2
ANALYTICS
0.0

desirability2 is making multi-metric model selection a first-class tidymodels step.

◆ Current state

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

◆ Where it's heading

The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.

◆ Prediction

The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.

Alternatives to bayestestR and desirability2

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 bayestestR or desirability2.

See all bayestestR alternatives → · See all desirability2 alternatives →

Recent activity from bayestestR and desirability2

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

  1. 2mo agobayestestRmcse() gains a centrality argument
  2. 2mo agobayestestRCmdStanFit support and tail-ESS as the default diagnostic
  3. 11mo agobayestestRrope() gains complement probabilities; display() methods added
  4. 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
  5. 1y agodesirability2Desirability-based model selection added for tune
  6. 1y agobayestestRdescribe_posterior() efficiency and multinomial handling
  7. 1y agobayestestReffects argument changes behavior for large brms/rstanarm fits
  8. 1y agobayestestRTail ESS returned from effective_sample() and its callers
  9. 3y agodesirability2NEWS.md added to track package changes

Frequently asked questions

What is the difference between bayestestR and desirability2?

They serve adjacent needs but don't currently overlap on shipped themes. bayestestR and desirability2 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 bayestestR better than desirability2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bayestestR and desirability2 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 bayestestR?

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

What are the best alternatives to desirability2?

Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 for the full list with editorial commentary on each.