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Comparison · Analytics
OneSampleMR vs scoringutils
A side-by-side editorial comparison of OneSampleMR and scoringutils — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:epidemiology
OneSampleMR vs scoringutils: at a glance
What is OneSampleMR?
OneSampleMR found that argument order in a formula was silently changing its estimates
OneSampleMR implements one-sample Mendelian randomization estimators — two-stage predictor substitution, two-stage residual inclusion, and Sanderson-Windmeijer conditional F statistics for instrument strength. The package spent its first years on packaging and dependency upkeep. The 2026 releases turn to substance: broader support for models fitted elsewhere, then a correctness fix for a defect that depended on nothing more than where covariates appeared in a formula.
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.
OneSampleMR vs scoringutils: editorial side-by-side
OneSampleMR
0.0ANALYTICS
OneSampleMR found that argument order in a formula was silently changing its estimates
◆ Current state
OneSampleMR implements one-sample Mendelian randomization estimators — two-stage predictor substitution, two-stage residual inclusion, and Sanderson-Windmeijer conditional F statistics for instrument strength. The package spent its first years on packaging and dependency upkeep. The 2026 releases turn to substance: broader support for models fitted elsewhere, then a correctness fix for a defect that depended on nothing more than where covariates appeared in a formula.
◆ Where it's heading
Two threads. The first is reach — fsw() now reads models fitted by AER::ivreg(), estimatr::iv_robust() and fixest::feols() in addition to ivreg::ivreg(), which makes conditional F statistics available without refitting in the package's own idiom. The second is hardening: clear errors when more than one exposure is given or when a variable collides with the reserved name y, and print methods that no longer fail on user-specified t0 with log or logit links. Both come largely from user reports rather than a plan.
◆ Prediction
The estimator-support work has been adding one IV-fitting package at a time on outside contributions, so further backends are the likeliest next content — the package's own estimators have been stable since first release.
scoringutils
0.0ANALYTICS
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 OneSampleMR 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 OneSampleMR or scoringutils.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
dggridR
A discrete global grid generator grew cell traversal and became a usable spatial index.
vegan
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
ichimoku
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
filearray
The on-disk array layer under RAVE spends its releases hunting segfaults.
See all OneSampleMR alternatives → · See all scoringutils alternatives →
Recent activity from OneSampleMR and scoringutils
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoOneSampleMROneSampleMR fixes estimates broken by covariate order in the formula
- 4mo agoscoringutilsMultivariate forecast scoring and the variogram score ⚡
- 5mo agoOneSampleMROneSampleMR computes conditional F for three more IV packages
- 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
- 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
- 1y agoOneSampleMROneSampleMR 0.1.6
- 1y agoscoringutilsOrdinal forecasts get their own class and metrics
- 1y agoscoringutilsRewrite: typed forecast objects and pluggable metrics ⚡
- 2y agoOneSampleMROneSampleMR 0.1.5
- 2y agoOneSampleMROneSampleMR 0.1.4
- 2y agoscoringutilsTwo bug fixes and package-site infrastructure
- 3y agoOneSampleMROneSampleMR 0.1.3
Frequently asked questions
What is the difference between OneSampleMR and scoringutils?
Both compete on the same themes — epidemiology — within Analytics. OneSampleMR 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 OneSampleMR better than scoringutils?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OneSampleMR 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 OneSampleMR?
Top OneSampleMR alternatives in Analytics are ranked by recent ship velocity. Browse the "OneSampleMR alternatives" section above for the current picks, or visit /alternatives/onesamplemr 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.