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epiworldR vs modeltime.ensemble

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

epiworldR vs modeltime.ensemble: at a glance

FeatureepiworldRmodeltime.ensemble
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, epidemiology, agent-based-simulation, crantime series forecasting, ensembles, tidymodels, compatibility maintenance
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is epiworldR?

epiworldR is a thin R shell whose releases track the C++ simulator underneath it

Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.

Read the full epiworldR trajectory →

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.

Read the full modeltime.ensemble trajectory →

epiworldR vs modeltime.ensemble: editorial side-by-side

E
epiworldR
ANALYTICS
0.0

epiworldR is a thin R shell whose releases track the C++ simulator underneath it

◆ Current state

Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.

◆ Where it's heading

The R package's job is staying current with the simulator and satisfying CRAN, not evolving its own interface. What direction it has shows in which model outputs get exposed next, and in a steady tidy-up of the build — the custom configure script was dropped in favour of R's built-in C++17 and OpenMP settings, and test coverage has been filled in across several releases with automated assistance.

◆ Prediction

Expect the next release to track another epiworld version bump, with any R-side addition most likely being one more exposed metric or saver, following the pattern of get_hospitalizations and get_outbreak_size.

M0.0

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.

Alternatives to epiworldR and modeltime.ensemble

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 epiworldR or modeltime.ensemble.

See all epiworldR alternatives → · See all modeltime.ensemble alternatives →

Recent activity from epiworldR and modeltime.ensemble

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

  1. 4mo agoepiworldR0.14.0 addresses an AddressSanitizer finding
  2. 5mo agoepiworldRWrapper bumped to track a new epiworld version
  3. 5mo agoepiworldRBuild drops the custom configure script for R's C++17 and OpenMP settings
  4. 6mo agoepiworldRepiworld bumped to 0.11.2
  5. 7mo agoepiworldRTests updated at CRAN's request
  6. 7mo agoepiworldRHospitalizations, outbreak size and active cases exposed to R
  7. 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
  8. 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
  9. 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
  10. 5y agomodeltime.ensembleRecursive ensembles for single and panel series

Frequently asked questions

What is the difference between epiworldR and modeltime.ensemble?

They serve adjacent needs but don't currently overlap on shipped themes. epiworldR and modeltime.ensemble 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 epiworldR better than modeltime.ensemble?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epiworldR and modeltime.ensemble 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 epiworldR?

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

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.