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rjdqa vs survminer

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

rjdqa vs survminer: at a glance

Featurerjdqasurvminer
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesofficial-statistics, seasonal-adjustment, quality-assurance, r-packager, survival-analysis, ggplot2, dependency-reduction
Last editorial update1h ago2h 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 survminer?

survminer is back after a five-year gap, and spending it cutting dependencies loose.

survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.

Read the full survminer trajectory →

rjdqa vs survminer: 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
survminer
ANALYTICS
0.0

survminer is back after a five-year gap, and spending it cutting dependencies loose.

◆ Current state

survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.

◆ Where it's heading

This is a revival by maintenance, not by feature work — the same pattern as its sibling packages from the same author. The dependency surface is being reduced rather than extended, and each release absorbs a breaking change from ggplot2 that would otherwise leave existing scripts producing errors or misaligned risk tables. Compatibility fixes now arrive within months of the upstream change rather than years.

◆ Prediction

Continued ggplot2 4.x tracking is the most likely next release content, since 0.5.2 already carries fixes for 4.0.x aesthetics and the GeomConfint stairstep problem.

Alternatives to rjdqa and survminer

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 survminer.

See all rjdqa alternatives → · See all survminer alternatives →

Recent activity from rjdqa and survminer

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

  1. 5mo agosurvminersurvMisc dependency removed; weighted log-rank tests moved in-house
  2. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  3. 11mo agosurvminerRisk-table misalignment fixed via dynamic panel detection
  4. 1y agosurvminerggcoxzph() sd scaling corrected; tidyverse deprecations cleared
  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. 5y agosurvminerGehan-Breslow p-value corrected for log.rank.weights = n
  10. 6y agosurvminerbroom 0.7.0 compatibility fix in ggforest()
  11. 6y agosurvminersurv_adjustedcurves() separates computation from plotting
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between rjdqa and survminer?

They serve adjacent needs but don't currently overlap on shipped themes. rjdqa and survminer 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 survminer?

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

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