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bayestestR vs discrim

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

bayestestR vs discrim: at a glance

FeaturebayestestRdiscrim
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian, diagnostics, stan, easystatstidymodels, discriminant analysis, parsnip extension, classification
Last editorial update3h ago54m 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 discrim?

discrim settled into a thin engine shim after handing its model definitions to parsnip.

discrim is the parsnip extension for discriminant analysis, exposing linear, quadratic, flexible and regularized variants through the tidymodels interface. Its model definition functions moved into parsnip itself in 0.2.0, leaving this package as the engine and prediction layer. The two most recent releases are a documentation fix and a single prediction bug.

Read the full discrim trajectory →

bayestestR vs discrim: 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
discrim
ANALYTICS
0.0

discrim settled into a thin engine shim after handing its model definitions to parsnip.

◆ Current state

discrim is the parsnip extension for discriminant analysis, exposing linear, quadratic, flexible and regularized variants through the tidymodels interface. Its model definition functions moved into parsnip itself in 0.2.0, leaving this package as the engine and prediction layer. The two most recent releases are a documentation fix and a single prediction bug.

◆ Where it's heading

The package built out method coverage early, adding quadratic discriminant analysis in 0.1.2, the sda and sparsediscrim engines in 0.1.3 and case weights in 1.0.0, then stopped growing. Handing definitions upstream to parsnip in 0.2.0 confirmed the shape: discrim is where engines are wired, not where the API lives. Cadence since 2022 is roughly one small fix a year.

◆ Prediction

Nothing in the entries points to new methods or engines; the next release is most likely another CRAN or prediction-path fix.

Alternatives to bayestestR and discrim

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 discrim.

See all bayestestR alternatives → · See all discrim alternatives →

Recent activity from bayestestR and discrim

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. 8mo agodiscrimFix for FDA models failing at prediction time
  4. 11mo agobayestestRrope() gains complement probabilities; display() methods added
  5. 11mo agodiscrimDocumentation links updated to stay on CRAN
  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. 4y agodiscrimCase weights enabled for flexible and linear discriminant models
  10. 4y agodiscrimModel definitions moved upstream into parsnip
  11. 5y agodiscrimsda and sparsediscrim engines added for LDA and QDA
  12. 5y agodiscrimdiscrim_quad() added; package relicensed to MIT

Frequently asked questions

What is the difference between bayestestR and discrim?

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

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

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