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Comparison · Analytics

rjdqa vs TwoSampleMR

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

rjdqa vs TwoSampleMR: at a glance

FeaturerjdqaTwoSampleMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesofficial-statistics, seasonal-adjustment, quality-assurance, r-packagemendelian-randomization, genetic-epidemiology, correctness-fixes, opengwas
Last editorial update53m ago5h 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 TwoSampleMR?

The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.

TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.

Read the full TwoSampleMR trajectory →

rjdqa vs TwoSampleMR: 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.

T
TwoSampleMR
ANALYTICS
0.0

The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.

◆ Current state

TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.

◆ Where it's heading

The pattern across these releases is a package being read line by line — a copy-paste weight vector in ldsc_rg(), chunking that produced zero splits for short SNP lists, penalisation recycled across the wrong SNPs, dead code paths removed, and regression tests added behind each fix. Alongside it runs a mechanical modernization pass: seq_len() for loop indices, tidyr in place of reshape2, current ggplot2 idioms, and the OpenGWAS URL migration. Feature work is limited to forest plot presentation.

◆ Prediction

Expect the audit to continue through the remaining bootstrap and jackknife routines, with releases staying in the 0.7.x patch range and each fix arriving with its own regression test.

Alternatives to rjdqa and TwoSampleMR

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 TwoSampleMR.

See all rjdqa alternatives → · See all TwoSampleMR alternatives →

Recent activity from rjdqa and TwoSampleMR

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

  1. 1mo agoTwoSampleMRBootstrap standard errors corrected in mode and Rucker estimators
  2. 2mo agoTwoSampleMRWrong weight vector and chunking fixes across the estimator set
  3. 2mo agoTwoSampleMRDeprecated ggplot2 idioms and dead code removed
  4. 3mo agoTwoSampleMROpenGWAS URLs migrated and Wald ratio warnings quieted
  5. 4mo agoTwoSampleMRCategorized forest plots aligned with the published figures
  6. 4mo agoTwoSampleMRFurther internal code optimizations
  7. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  8. 1y agorjdqaFix tail() usage on ts objects
  9. 2y agorjdqaFix dependency minimums and outlier ordering
  10. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  11. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between rjdqa and TwoSampleMR?

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

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

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