mrbayes
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
Comparison · Analytics
modeltime.ensemble vs trias
A side-by-side editorial comparison of modeltime.ensemble and trias — release velocity, themes, recent moves, and the top alternatives to consider.
modeltime.ensemble vs trias: at a glance
What is modeltime.ensemble?
modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.
modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.
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.
modeltime.ensemble vs trias: editorial side-by-side
modeltime.ensemble
0.0ANALYTICS
modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.
◆ Current state
modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.
◆ Where it's heading
This is a package whose forecasting capability was settled by 2021 — recursive ensembles, per-series calibration — and whose recent life is dictated entirely by upstream tidymodels churn. New contributors did that compatibility work, including one from the tidymodels side. It now requires tune 2.0.0 and modeltime.resample 0.3.0, pinning it to the current tidymodels generation rather than straddling versions.
◆ Prediction
Expect the next release to follow the next tune or modeltime.resample breaking change rather than to introduce new ensembling methods.
trias
0.0ANALYTICS
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 modeltime.ensemble 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 modeltime.ensemble or trias.
lineup2
lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.
stringi
stringi has spent two years on build hardening since its Unicode 15.1 reset.
OHPL
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
See all modeltime.ensemble alternatives → · See all trias alternatives →
Recent activity from modeltime.ensemble and trias
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agotriasGAM plots survive models that cannot be fitted
- 5mo agotriasColumn validation added to the download list update
- 6mo agotriasY-axis tick values corrected in pathway plots
- 6mo agotriasZenodo integration patch removes the DOI badge
- 6mo agotriasget_nubkeys() resolves GBIF Backbone taxon keys
- 6mo agotriaspathways_cbd() deprecated in favor of its data frame
- 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
- 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
- 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
- 5y agomodeltime.ensembleRecursive ensembles for single and panel series ⚡
Frequently asked questions
What is the difference between modeltime.ensemble and trias?
They serve adjacent needs but don't currently overlap on shipped themes. modeltime.ensemble 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 modeltime.ensemble better than trias?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modeltime.ensemble 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 modeltime.ensemble?
Top modeltime.ensemble alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime.ensemble alternatives" section above for the current picks, or visit /alternatives/modeltime-ensemble 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.