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Comparison · Analytics

ardlverse vs rjdqa

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

Shared themes:r-package

ardlverse vs rjdqa: at a glance

Featureardlverserjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseconometrics, panel-data, ardl, r-packageofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update3h ago58m ago
WebsiteVisit →Visit →

What is ardlverse?

An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.

A small R package for autoregressive distributed lag models, with only three releases on record. The first two were administrative — a CRAN version note and a Zenodo metadata update. The third, 2.0.0, is a correction release built entirely from an external audit of panel_ardl() against Stata's xtpmg, and it is the only entry here with substantive content.

Read the full ardlverse 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 →

ardlverse vs rjdqa: editorial side-by-side

A
ardlverse
ANALYTICS
0.0

An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.

◆ Current state

A small R package for autoregressive distributed lag models, with only three releases on record. The first two were administrative — a CRAN version note and a Zenodo metadata update. The third, 2.0.0, is a correction release built entirely from an external audit of panel_ardl() against Stata's xtpmg, and it is the only entry here with substantive content.

◆ Where it's heading

The package's direction is now set by verification against an established reference implementation rather than by feature work. The seven fixes bring panel_ardl() into strict alignment with the original Pesaran, Shin and Smith framework, and the most serious of them is structural: internal regressions used lm.fit(), which unlike lm() does not append an intercept, so every short-run regression across the PMG, MG and DFE estimators was forced through the origin. Design matrices now carry a column of ones and DFE reconstructs the grand-mean intercept to match standard fixed-effects output.

◆ Prediction

Expect the next releases to extend the same audit approach to the remaining estimators, since a package that has been validated against xtpmg on one function invites the same question about the rest.

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 ardlverse 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 ardlverse or rjdqa.

See all ardlverse alternatives → · See all rjdqa alternatives →

Recent activity from ardlverse and rjdqa

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

  1. 1mo agoardlverseSeven panel_ardl fixes after an audit against Stata's xtpmg
  2. 5mo agoardlverseZenodo metadata updated with ORCID
  3. 5mo agoardlverseardlverse v1.1.3
  4. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  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. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between ardlverse and rjdqa?

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

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

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