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Comparison · Analytics

OneSampleMR vs trias

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

OneSampleMR vs trias: at a glance

FeatureOneSampleMRtrias
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmendelian randomization, r, instrumental variables, epidemiologyinvasive-species, biodiversity, gbif, indicators
Last editorial update1h ago45m ago
WebsiteVisit →Visit →

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.

Read the full OneSampleMR trajectory →

What is trias?

Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.

trias computes and visualizes indicators for the Belgian Tracking Invasive Alien Species project — emergence detection via GAMs, introduction pathway breakdowns following CBD categories, and native range trends. The recent releases are narrow: GAM plots can now be produced without textual annotation when the model cannot be fitted, and apply_decision_rules() no longer supplies a default for a required argument.

Read the full trias trajectory →

OneSampleMR vs trias: editorial side-by-side

O
OneSampleMR
ANALYTICS
0.0

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.

T
trias
ANALYTICS
0.0

Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.

◆ Current state

trias computes and visualizes indicators for the Belgian Tracking Invasive Alien Species project — emergence detection via GAMs, introduction pathway breakdowns following CBD categories, and native range trends. The recent releases are narrow: GAM plots can now be produced without textual annotation when the model cannot be fitted, and apply_decision_rules() no longer supplies a default for a required argument.

◆ Where it's heading

Development runs in small, fast patches concentrated on making the indicator functions survive imperfect real-world input — pathways absent from the data, GAMs that will not converge, checklist files with unexpected columns. A second thread trims the package's own surface in favor of the data it ships, deprecating pathways_cbd() in favor of using the pathwayscbd data frame directly, while get_nubkeys() extends reach into GBIF Backbone taxon key resolution.

◆ Prediction

Expect continued patch-level hardening of the visualization functions and further reliance on GBIF services for taxon resolution, with no sign of a structural change to the indicator set.

Alternatives to OneSampleMR and trias

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 trias.

See all OneSampleMR alternatives → · See all trias alternatives →

Recent activity from OneSampleMR and trias

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

  1. 1mo agoOneSampleMROneSampleMR fixes estimates broken by covariate order in the formula
  2. 3mo agotriasGAM plots survive models that cannot be fitted
  3. 5mo agoOneSampleMROneSampleMR computes conditional F for three more IV packages
  4. 5mo agotriasColumn validation added to the download list update
  5. 6mo agotriasY-axis tick values corrected in pathway plots
  6. 6mo agotriasZenodo integration patch removes the DOI badge
  7. 6mo agotriasget_nubkeys() resolves GBIF Backbone taxon keys
  8. 6mo agotriaspathways_cbd() deprecated in favor of its data frame
  9. 1y agoOneSampleMROneSampleMR 0.1.6
  10. 2y agoOneSampleMROneSampleMR 0.1.5
  11. 2y agoOneSampleMROneSampleMR 0.1.4
  12. 3y agoOneSampleMROneSampleMR 0.1.3

Frequently asked questions

What is the difference between OneSampleMR and trias?

They serve adjacent needs but don't currently overlap on shipped themes. OneSampleMR and trias 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 trias?

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

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