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medrobust vs robma

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

medrobust vs robma: at a glance

Featuremedrobustrobma
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescausal mediation, partial identification, misclassification, sensitivity analysisr-package, meta-analysis, bayesian, api-redesign
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is medrobust?

medrobust made its partial-identification bounds usable by giving them confidence intervals.

medrobust computes partial-identification bounds for mediation effects when exposure or mediator is differentially misclassified, part of the Data-Wise mediationverse. Its 0.2.0 release corrected three estimator defects against population oracles and added Imbens-Manski confidence intervals for the bounds; the two releases since have paired each identification path with a real public-domain dataset and a worked vignette. CRAN is deferred, with distribution through GitHub and r-universe.

Read the full medrobust trajectory →

What is robma?

RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy

RoBMA fits robust Bayesian model-averaged meta-analyses that adjust for publication bias. The 3.x line grew by accretion: separate constructors for each model family (RoBMA.reg, NoBMA, BiBMA and their .reg variants), a spike-and-slab algorithm in 3.3.0 that made estimation fast enough to matter, then a steady stream of post-estimation tooling gated on that algorithm — heterogeneity summaries, residuals, funnel plots, z-curve conversion, predict, extract, pooled and adjusted effects. Version 4.0.0 in May 2026 collapses all of it into a unified brma class hierarchy.

Read the full robma trajectory →

medrobust vs robma: editorial side-by-side

M
medrobust
ANALYTICS
0.0

medrobust made its partial-identification bounds usable by giving them confidence intervals.

◆ Current state

medrobust computes partial-identification bounds for mediation effects when exposure or mediator is differentially misclassified, part of the Data-Wise mediationverse. Its 0.2.0 release corrected three estimator defects against population oracles and added Imbens-Manski confidence intervals for the bounds; the two releases since have paired each identification path with a real public-domain dataset and a worked vignette. CRAN is deferred, with distribution through GitHub and r-universe.

◆ Where it's heading

The pattern is deliberate and symmetric: 0.3.0 shipped the mediator-side example on NCHS natality data, 0.4.0 its exposure-side mirror on NHANES, each demonstrating what the bounds do when reporting accuracy is allowed to depend on the outcome. Alongside that runs a consistent concern with failing usefully rather than loudly — bound_ne() returns NA bounds with a machine-readable reason and a typed condition instead of aborting, so a simulation replicate is recorded rather than lost, and non-finite endpoint standard errors produce a documented NA rather than a silent one. That is a package expecting to be run thousands of times inside someone else's loop.

◆ Prediction

Both identification paths now have a dataset, a vignette and interval coverage, so the next release is most likely the deferred CRAN submission rather than new methodology.

R
robma
ANALYTICS
0.0

RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy

◆ Current state

RoBMA fits robust Bayesian model-averaged meta-analyses that adjust for publication bias. The 3.x line grew by accretion: separate constructors for each model family (RoBMA.reg, NoBMA, BiBMA and their .reg variants), a spike-and-slab algorithm in 3.3.0 that made estimation fast enough to matter, then a steady stream of post-estimation tooling gated on that algorithm — heterogeneity summaries, residuals, funnel plots, z-curve conversion, predict, extract, pooled and adjusted effects. Version 4.0.0 in May 2026 collapses all of it into a unified brma class hierarchy.

◆ Where it's heading

The 3.x series solved the modeling problem and left an interface problem behind: a caller had to know which of six constructors matched their data type, and argument names differed across them. 4.0.0 resolves that by making the model family a set of arguments rather than a function name, and by standardizing input naming on metafor-style conventions. It shipped one day after BayesTools 0.3.0, the author's own upstream infrastructure package, whose new standardization and prior-transformation machinery this rewrite depends on.

◆ Prediction

A rewrite this wide usually needs a follow-up, so expect 4.0.x patches addressing migration gaps as users hit the removed constructors and renamed arguments.

Alternatives to medrobust and robma

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 medrobust or robma.

See all medrobust alternatives → · See all robma alternatives →

Recent activity from medrobust and robma

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

  1. 2mo agomedrobustNHANES exposure-side misclassification example dataset
  2. 2mo agomedrobustNatality example dataset; bounds degrade instead of aborting
  3. 2mo agomedrobustBounds corrected against oracles; Imbens-Manski intervals added
  4. 3mo agorobmaUnifies six model constructors into one brma class hierarchy
  5. 8mo agorobmaRoBMA 3.6.1
  6. 11mo agorobmaRoBMA 3.6.0
  7. 1y agorobmaRoBMA 3.5.1
  8. 1y agorobmaRoBMA 3.5.0
  9. 1y agorobmaRoBMA 3.4.0

Frequently asked questions

What is the difference between medrobust and robma?

They serve adjacent needs but don't currently overlap on shipped themes. medrobust and robma 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 medrobust better than robma?

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

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

What are the best alternatives to robma?

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