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rjdqa vs seriation

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

Shared themes:r-package

rjdqa vs seriation: at a glance

Featurerjdqaseriation
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesofficial-statistics, seasonal-adjustment, quality-assurance, r-packageseriation, matrix-reordering, optimization, clustering
Last editorial update1h ago49m ago
WebsiteVisit →Visit →

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 →

What is seriation?

seriation stopped shipping algorithms and started shipping a way to pick between them.

seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.

Read the full seriation trajectory →

rjdqa vs seriation: editorial side-by-side

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.

S
seriation
ANALYTICS
0.0

seriation stopped shipping algorithms and started shipping a way to pick between them.

◆ Current state

seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.

◆ Where it's heading

The package has shifted from breadth to judgment. Through 1.3.x the additions were new methods; from 1.5.0 the registry started carrying metadata about the methods — whether they are randomized, what criterion they optimize — so the package could choose and evaluate on the user's behalf. The 1.5.6 replacement of FORTRAN with C for BEA and ME points the same way, reducing the legacy surface underneath that machinery.

◆ Prediction

Further criterion audits are the likeliest next move, since 1.5.8 shows a published definition being reconciled against the implementation and the registry now records what each method optimizes. Expect corrections rather than new seriation algorithms.

Alternatives to rjdqa and seriation

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 rjdqa or seriation.

See all rjdqa alternatives → · See all seriation alternatives →

Recent activity from rjdqa and seriation

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

  1. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  2. 0y agoseriationseriation 1.5.8 realigns linear criterion with Hubert and Schultz
  3. 1y agoseriationseriation 1.5.7 adds BK_unconstrained, handles tiny inputs
  4. 1y agorjdqaFix tail() usage on ts objects
  5. 1y agoseriationseriation 1.5.6 replaces FORTRAN BEA with C, modernizes allocation
  6. 2y agoseriationseriation 1.5.5 digest: AOE method, rep parameter, MDS_angle fix
  7. 2y agorjdqaFix dependency minimums and outlier ordering
  8. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  9. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  10. 3y agoseriationseriation 1.5.1 refines pimage, permute and hmap
  11. 3y agoseriationseriation 1.5.0 adds seriate_best and parallel repeated search
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between rjdqa and seriation?

Both compete on the same themes — r-package — within Analytics. rjdqa and seriation 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 rjdqa better than seriation?

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

What are the best alternatives to seriation?

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