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Comparison · Analytics

rjdqa vs spatstat

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

Shared themes:r-package

rjdqa vs spatstat: at a glance

Featurerjdqaspatstat
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesofficial-statistics, seasonal-adjustment, quality-assurance, r-packagespatial-statistics, r-package, metapackage, documentation
Last editorial update55m ago8h 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 spatstat?

The spatstat umbrella package, now mostly a pointer to the sub-packages doing the work

spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.

Read the full spatstat trajectory →

rjdqa vs spatstat: 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
spatstat
ANALYTICS
0.0

The spatstat umbrella package, now mostly a pointer to the sub-packages doing the work

◆ Current state

spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.

◆ Where it's heading

The split is effectively complete and the umbrella's role has settled into coordination — tracking version dependencies across sub-packages and pointing users to them. The family has kept subdividing over this period, with spatstat.univar joining in 3.1-0. The one substantive user-facing addition here is documentation infrastructure: 3.3-0 added the ability to list the history of changes to a specific function, which is a navigational answer to a codebase now spread across many packages.

◆ Prediction

Expect this package's notes to continue summarising sub-package activity rather than carrying features of its own, since every release in this window does exactly that. Read spatstat.geom, spatstat.random and spatstat.model for the substance.

Alternatives to rjdqa and spatstat

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 spatstat.

See all rjdqa alternatives → · See all spatstat alternatives →

Recent activity from rjdqa and spatstat

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

  1. 2mo agospatstatSub-package updates across sparse, univar and random
  2. 6mo agospatstatspatstat passes 200,000 lines of code
  3. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  4. 10mo agospatstatNew vignette documenting NA spatial objects
  5. 1y agospatstatPer-function change history now listable
  6. 1y agorjdqaFix tail() usage on ts objects
  7. 2y agospatstatspatstat.univar joins the package family
  8. 2y agorjdqaFix dependency minimums and outlier ordering
  9. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  10. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  11. 3y agospatstatSub-package cross-references and docs corrected
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between rjdqa and spatstat?

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

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

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