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posteriordb-r vs rstatix

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

posteriordb-r vs rstatix: at a glance

Featureposteriordb-rrstatix
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesbayesian inference, stan, benchmark data, r packagestatistics, r, effect sizes, confidence intervals
Last editorial update1h ago48m ago
WebsiteVisit →Visit →

What is posteriordb-r?

posteriordb's R client ships a test-file fix and nothing else.

posteriordb-r is the R interface to the posteriordb collection of reference Bayesian posteriors, used for benchmarking inference algorithms. The single release in view fixes Stan syntax in test files. Neither the posterior collection nor the client API changes.

Read the full posteriordb-r trajectory →

What is rstatix?

rstatix hit 1.0 by unrounding every p-value it has ever returned

rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.

Read the full rstatix trajectory →

posteriordb-r vs rstatix: editorial side-by-side

P
posteriordb-r
ANALYTICS
0.0

posteriordb's R client ships a test-file fix and nothing else.

◆ Current state

posteriordb-r is the R interface to the posteriordb collection of reference Bayesian posteriors, used for benchmarking inference algorithms. The single release in view fixes Stan syntax in test files. Neither the posterior collection nor the client API changes.

◆ Where it's heading

One patch-level entry gives little to read. What it does say is that upkeep here tracks Stan's evolving syntax rather than the database's contents — the client's job is to stay compatible with the language the reference models are written in. Whether the collection itself is growing is not visible from this feed.

◆ Prediction

Expect further compatibility patches as Stan syntax deprecations land; the entries give no signal on new posteriors or API changes.

R
rstatix
ANALYTICS
2.5

rstatix hit 1.0 by unrounding every p-value it has ever returned

◆ Current state

rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.

◆ Where it's heading

The work is about matching what dedicated effect-size packages give you without taking on their dependencies. Confidence intervals for partial eta squared and for Cohen's d are both computed in base R from noncentral distributions and both check against effectsize; compact letter displays are computed in base R against multcompView. The pattern is deliberate — reproduce the reference implementation, add no imports. Alongside that, the package has started correcting statistical hygiene it got wrong for years, most visibly by no longer rounding p-values before adjusting them.

◆ Prediction

The analytic-interval machinery now exists for eta squared and Cohen's d; the untouched effect sizes in the package — eta squared for nonparametric tests, Cramer's V, rank-biserial correlation — are the obvious next targets for the same base-R noncentral treatment.

Alternatives to posteriordb-r and rstatix

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 posteriordb-r or rstatix.

See all posteriordb-r alternatives → · See all rstatix alternatives →

Recent activity from posteriordb-r and rstatix

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

  1. 22d agorstatixrstatix 1.1.0 gives Cohen's d a deterministic confidence interval
  2. 1mo agorstatixrstatix 1.0.0 stops rounding p-values before adjusting them
  3. 9mo agoposteriordb-rStan syntax fixes in test files
  4. 9mo agorstatixrstatix 0.7.3
  5. 3y agorstatixrstatix 0.7.2
  6. 3y agorstatixrstatix 0.7.1
  7. 5y agorstatixrstatix 0.7.0

Frequently asked questions

What is the difference between posteriordb-r and rstatix?

They serve adjacent needs but don't currently overlap on shipped themes. rstatix 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 posteriordb-r better than rstatix?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstatix 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 posteriordb-r?

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

What are the best alternatives to rstatix?

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