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Comparison · Analytics

modeltime.resample vs OneSampleMR

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

modeltime.resample vs OneSampleMR: at a glance

Featuremodeltime.resampleOneSampleMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, cross-validation, tidymodels, compatibility maintenancemendelian randomization, r, instrumental variables, epidemiology
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is modeltime.resample?

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

Read the full modeltime.resample trajectory →

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 →

modeltime.resample vs OneSampleMR: editorial side-by-side

M0.0

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

◆ Current state

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

◆ Where it's heading

Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.

◆ Prediction

Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.

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.

Alternatives to modeltime.resample and OneSampleMR

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.resample or OneSampleMR.

See all modeltime.resample alternatives → · See all OneSampleMR alternatives →

Recent activity from modeltime.resample and OneSampleMR

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

  1. 1mo agoOneSampleMROneSampleMR fixes estimates broken by covariate order in the formula
  2. 5mo agoOneSampleMROneSampleMR computes conditional F for three more IV packages
  3. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  4. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  5. 1y agoOneSampleMROneSampleMR 0.1.6
  6. 2y agoOneSampleMROneSampleMR 0.1.5
  7. 2y agoOneSampleMROneSampleMR 0.1.4
  8. 3y agoOneSampleMROneSampleMR 0.1.3
  9. 3y agomodeltime.resampleFixes workflows in regression mode
  10. 4y agomodeltime.resampleUpdates for hardhat 1.0.0

Frequently asked questions

What is the difference between modeltime.resample and OneSampleMR?

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

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

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

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.