← Back to home
Comparison · Analytics

modeltime.resample vs mrbayes

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

modeltime.resample vs mrbayes: at a glance

Featuremodeltime.resamplemrbayes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, cross-validation, tidymodels, compatibility maintenancemendelian-randomization, bayesian-inference, stan, jags
Last editorial update3h ago48m 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 mrbayes?

mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.

mrbayes wraps Stan and JAGS implementations of Bayesian Mendelian randomization estimators — IVW, MR-Egger, radial Egger, and their multivariable forms. Most of the visible history is packaging work: dependency trimming, conditional examples so the package installs where JAGS will not compile, a maintainer handover. The 0.5.3 release in July 2026 breaks that pattern with a dense list of fixes inside the model code itself.

Read the full mrbayes trajectory →

modeltime.resample vs mrbayes: 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.

M
mrbayes
ANALYTICS
0.0

mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.

◆ Current state

mrbayes wraps Stan and JAGS implementations of Bayesian Mendelian randomization estimators — IVW, MR-Egger, radial Egger, and their multivariable forms. Most of the visible history is packaging work: dependency trimming, conditional examples so the package installs where JAGS will not compile, a maintainer handover. The 0.5.3 release in July 2026 breaks that pattern with a dense list of fixes inside the model code itself.

◆ Where it's heading

The package has moved from packaging upkeep into a correctness-audit phase. 0.5.3 fixes a hardcoded three-exposure loop in MVMR-Egger reporting, a broken joint-prior branch, a sigma parameterization error in radial Egger, and several prior specifications — the profile of a maintainer reading their own model files closely rather than responding to bug reports. Platform work continues underneath: an R 4.3.0 floor inherited through a transitive dependency chain, and segfault fixes on macOS ARM.

◆ Prediction

Expect further audit-driven patches to the remaining rjags and Stan model files rather than new estimators; the fixes in 0.5.3 cluster in the Egger variants, which suggests that is where the reading is still in progress.

Alternatives to modeltime.resample and mrbayes

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 mrbayes.

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

Recent activity from modeltime.resample and mrbayes

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

  1. 1mo agomrbayesEstimator audit fixes MVMR-Egger loops and radial Egger sigma
  2. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  3. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  4. 1y agomrbayesMVMR rjags example gated on rjags being installed
  5. 1y agomrbayesExamples and tests skip when rstan or rjags is missing
  6. 1y agomrbayespkgdown site updated
  7. 1y agomrbayesHelper command added for installing JAGS
  8. 1y agomrbayesDependency surface trimmed; maintainer handover
  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 mrbayes?

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

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

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