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Comparison · Analytics

RadialMR vs rjdqa

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

Shared themes:r-package

RadialMR vs rjdqa: at a glance

FeatureRadialMRrjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmendelian-randomization, radial-plots, correctness-audit, statistical-inferenceofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update5h ago55m ago
WebsiteVisit →Visit →

What is RadialMR?

RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.

RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().

Read the full RadialMR 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 →

RadialMR vs rjdqa: editorial side-by-side

R
RadialMR
ANALYTICS
0.0

RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.

◆ Current state

RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().

◆ Where it's heading

This is a package being read closely by its maintainer rather than extended. The 1.2.x line pairs statistical corrections with defensive hardening — an rmr_format class check so unformatted input fails with a clear message, and plotly_radial() dispatching on object class instead of counting list elements. Both are the kind of change made while auditing, not while building.

◆ Prediction

Expect the audit to continue into the remaining estimator internals and print methods rather than new radial variants; the entries show no feature work queued.

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 RadialMR 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 RadialMR or rjdqa.

See all RadialMR alternatives → · See all rjdqa alternatives →

Recent activity from RadialMR and rjdqa

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

  1. 1mo agoRadialMRegger_radial() degrees of freedom corrected to n-2
  2. 3mo agoRadialMRroxygen2 bumped; package-level helpfile added
  3. 4mo agoRadialMRUnspecified codebase optimizations
  4. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  5. 1y agoRadialMRggplot2 v4 warning removed from plot_radial()
  6. 1y agorjdqaFix tail() usage on ts objects
  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. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between RadialMR and rjdqa?

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

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

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