RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
Comparison · Analytics
modeltime.ensemble vs monitOS
A side-by-side editorial comparison of modeltime.ensemble and monitOS — release velocity, themes, recent moves, and the top alternatives to consider.
modeltime.ensemble vs monitOS: 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 monitOS?
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.
modeltime.ensemble vs monitOS: 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.
monitOS
0.0ANALYTICS
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
◆ Current state
monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.
◆ Where it's heading
For a package published by a pharmaceutical sponsor, the licence change is the substantive item — MIT removes friction for reuse outside Novartis, and the added issue link and website point the same way, toward outside users. Everything else is packaging hygiene. At 0.1.6 with two releases nine months apart, the statistical methodology looks settled while the distribution around it is being tidied.
◆ Prediction
The open-sourcing signals suggest the next release will respond to outside issue reports; the entries give no indication of methodology changes.
Alternatives to modeltime.ensemble and monitOS
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 monitOS.
geoarrow-r
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all modeltime.ensemble alternatives → · See all monitOS alternatives →
Recent activity from modeltime.ensemble and monitOS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
- 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
- 1y agomonitOSRelicensed to MIT; Shiny import and inf-value fixes
- 1y agomonitOSv0.1.5-release
- 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 monitOS?
They serve adjacent needs but don't currently overlap on shipped themes. modeltime.ensemble and monitOS 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 monitOS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modeltime.ensemble and monitOS 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 monitOS?
Top monitOS alternatives in Analytics are ranked by recent ship velocity. Browse the "monitOS alternatives" section above for the current picks, or visit /alternatives/monitos for the full list with editorial commentary on each.