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bpbounds vs scoringutils

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

Shared themes:epidemiology

bpbounds vs scoringutils: at a glance

Featurebpboundsscoringutils
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescausal inference, instrumental variables, r, partial identificationforecast evaluation, probabilistic scoring, multivariate forecasts, s3 classes
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 scoringutils?

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

Read the full scoringutils trajectory →

bpbounds vs scoringutils: 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.

S
scoringutils
ANALYTICS
0.0

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

◆ Current state

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

◆ Where it's heading

The forecast-type system introduced in 2.0.0 is the engine of everything since: each release fits another outcome shape into it rather than reworking the scoring interface. Multivariate support is the largest of those additions because it scores the dependence structure between variables, not just marginal accuracy. Type and constructor names are still being reconciled — forecast_sample_multivariate was renamed to forecast_multivariate_sample with a deprecation window.

◆ Prediction

Expect further forecast types and metrics slotted into the same constructor pattern, and the deprecated forecast_sample_multivariate alias and is_forecast_sample_multivariate() to be removed once that window closes.

Alternatives to bpbounds and scoringutils

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 scoringutils.

See all bpbounds alternatives → · See all scoringutils alternatives →

Recent activity from bpbounds and scoringutils

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. 4mo agoscoringutilsMultivariate forecast scoring and the variogram score
  4. 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
  5. 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
  6. 1y agoscoringutilsOrdinal forecasts get their own class and metrics
  7. 1y agoscoringutilsRewrite: typed forecast objects and pluggable metrics
  8. 2y agobpboundsbpbounds 0.1.6
  9. 2y agoscoringutilsTwo bug fixes and package-site infrastructure
  10. 3y agobpboundsbpbounds 0.1.5
  11. 6y agobpboundsVersion 0.1.4 on CRAN
  12. 7y agobpboundsVersion 0.1.3

Frequently asked questions

What is the difference between bpbounds and scoringutils?

Both compete on the same themes — epidemiology — within Analytics. bpbounds and scoringutils 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 scoringutils?

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

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