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Comparison · Analytics

redist vs rjdqa

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

redist vs rjdqa: at a glance

Featureredistrjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, redistricting, monte-carlo, samplingofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update1h ago56m ago
WebsiteVisit →Visit →

What is redist?

redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.

redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.

Read the full redist 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 →

redist vs rjdqa: editorial side-by-side

R
redist
ANALYTICS
0.0

redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.

◆ Current state

redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.

◆ Where it's heading

The direction is toward exactness and throughput at once — the new kernel is described as both eliminating approximation error and costing far less computation, and successive releases keep adding parallelism, most recently to the flip algorithm. Feature growth has moved into the optimization side, where short-burst gained multiple independent scorers and a Pareto frontier. The release notes are not a reliable ledger: 4.3.1 ships the identical text as 4.3.0.

◆ Prediction

Expect the remaining single-threaded algorithms to gain the chains-style parallelism that flip just received, following the pattern SMC established several releases ago.

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 redist 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 redist or rjdqa.

See all redist alternatives → · See all rjdqa alternatives →

Recent activity from redist and rjdqa

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

  1. 6mo agoredistParallel chains for redist_flip()
  2. 6mo agoredistPatch release reusing the 4.3.0 notes
  3. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  4. 10mo agoredistSMC backward kernel removes label-counting approximation error
  5. 1y agorjdqaFix tail() usage on ts objects
  6. 2y agorjdqaFix dependency minimums and outlier ordering
  7. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  8. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  9. 2y agoredistMulti-objective short-burst search with Pareto frontier
  10. 3y agoredistredist_ci interface and faster loop-erased random walk
  11. 4y agoredistredist_constr() unifies constraints and admits user-defined ones
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between redist and rjdqa?

They serve adjacent needs but don't currently overlap on shipped themes. redist 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 redist better than rjdqa?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. redist 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 redist?

Top redist alternatives in Analytics are ranked by recent ship velocity. Browse the "redist alternatives" section above for the current picks, or visit /alternatives/redist-r 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.