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Comparison · Analytics

modeltime.resample vs rjdqa

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

modeltime.resample vs rjdqa: at a glance

Featuremodeltime.resamplerjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, cross-validation, tidymodels, compatibility maintenanceofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update7h ago53m 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 rjdqa?

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

Read the full rjdqa trajectory →

modeltime.resample vs rjdqa: 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.

R
rjdqa
ANALYTICS
0.0

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

◆ Current state

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

◆ Where it's heading

The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.

◆ Prediction

The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.

Alternatives to modeltime.resample and rjdqa

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 rjdqa.

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

Recent activity from modeltime.resample and rjdqa

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

  1. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  2. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  3. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  4. 1y agorjdqaFix tail() usage on ts objects
  5. 2y agorjdqaFix dependency minimums and outlier ordering
  6. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  7. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  8. 3y agomodeltime.resampleFixes workflows in regression mode
  9. 4y agomodeltime.resampleUpdates for hardhat 1.0.0
  10. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between modeltime.resample and rjdqa?

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

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

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