← Back to home
Comparison · Analytics

bpbounds vs rstatix

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

Shared themes:r

bpbounds vs rstatix: at a glance

Featurebpboundsrstatix
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themescausal inference, instrumental variables, r, partial identificationstatistics, r, effect sizes, confidence intervals
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is bpbounds?

bpbounds found the same swapped-cell bug twice and clamped its bounds back into range

bpbounds computes nonparametric Balke-Pearl bounds on the average causal effect from instrumental variable data, in the bivariate and trivariate cases. After years of pure packaging maintenance, the two 2026 releases are analytical corrections. Bounds on intervention probabilities are now clamped to [0, 1] so derived causal risk ratio bounds cannot fall outside their feasible range, and a cell-ordering error in the trivariate three-category instrument path has been repaired.

Read the full bpbounds 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 →

bpbounds vs rstatix: editorial side-by-side

B
bpbounds
ANALYTICS
0.0

bpbounds found the same swapped-cell bug twice and clamped its bounds back into range

◆ Current state

bpbounds computes nonparametric Balke-Pearl bounds on the average causal effect from instrumental variable data, in the bivariate and trivariate cases. After years of pure packaging maintenance, the two 2026 releases are analytical corrections. Bounds on intervention probabilities are now clamped to [0, 1] so derived causal risk ratio bounds cannot fall outside their feasible range, and a cell-ordering error in the trivariate three-category instrument path has been repaired.

◆ Where it's heading

The direction is toward agreement with the reference Stata implementation and away from silently wrong output. The clamping change is described as matching the same fix in the Stata package, which suggests the two implementations are being reconciled rather than developed independently. The cell-ordering defect is the more instructive one: it was fixed in the calculation function in 0.1.7 and then again in the constraint matrix in 0.1.8, meaning the same x=0,y=1 / x=1,y=0 swap had been written in two places.

◆ Prediction

Since the recent fixes came from an external contributor's report and both touched the trivariate three-category path, the untested corners of that path are where further corrections would surface — but the release notes give no roadmap beyond parity with the Stata package.

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 bpbounds 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 bpbounds or rstatix.

See all bpbounds alternatives → · See all rstatix alternatives →

Recent activity from bpbounds 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 agobpboundsbpbounds clamps probability bounds and fixes a constraint-matrix swap
  3. 1mo agorstatixrstatix 1.0.0 stops rounding p-values before adjusting them
  4. 2mo agobpboundsbpbounds fixes swapped cells in the trivariate calculation
  5. 9mo agorstatixrstatix 0.7.3
  6. 2y agobpboundsbpbounds 0.1.6
  7. 3y agobpboundsbpbounds 0.1.5
  8. 3y agorstatixrstatix 0.7.2
  9. 3y agorstatixrstatix 0.7.1
  10. 5y agorstatixrstatix 0.7.0
  11. 6y agobpboundsVersion 0.1.4 on CRAN
  12. 7y agobpboundsVersion 0.1.3

Frequently asked questions

What is the difference between bpbounds and rstatix?

Both compete on the same themes — r — within Analytics. 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 bpbounds 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 bpbounds?

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