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bpbounds vs posteriordb-r

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

bpbounds vs posteriordb-r: at a glance

Featurebpboundsposteriordb-r
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescausal inference, instrumental variables, r, partial identificationbayesian inference, stan, benchmark data, r package
Last editorial update1h ago2h 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 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 →

bpbounds vs posteriordb-r: 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.

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.

Alternatives to bpbounds and posteriordb-r

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 posteriordb-r.

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

Recent activity from bpbounds and posteriordb-r

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

  1. 1mo agobpboundsbpbounds clamps probability bounds and fixes a constraint-matrix swap
  2. 2mo agobpboundsbpbounds fixes swapped cells in the trivariate calculation
  3. 9mo agoposteriordb-rStan syntax fixes in test files
  4. 2y agobpboundsbpbounds 0.1.6
  5. 3y agobpboundsbpbounds 0.1.5
  6. 6y agobpboundsVersion 0.1.4 on CRAN
  7. 7y agobpboundsVersion 0.1.3

Frequently asked questions

What is the difference between bpbounds and posteriordb-r?

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

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