← Back to home
Comparison · Analytics

robma vs vecvec

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

Shared themes:r-package

robma vs vecvec: at a glance

Featurerobmavecvec
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, meta-analysis, bayesian, api-redesignr-package, data-structures, s7, vctrs
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

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 →

What is vecvec?

A vector-of-vectors class swapped its object system mid-flight and came out faster.

vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.

Read the full vecvec trajectory →

robma vs vecvec: editorial side-by-side

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.

V
vecvec
ANALYTICS
0.0

A vector-of-vectors class swapped its object system mid-flight and came out faster.

◆ Current state

vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.

◆ Where it's heading

The arc runs from proving the idea to making it cheap. Early releases established constructors and vctrs dispatch; 1.0.0 rebuilt the internals on S7 with a smaller, faster representation and automatic flattening of adjacent compatible vectors; the two releases since have been about not defeating the point — an ALTREP vector flattened on construction or materialised by a print method gives back exactly the memory the class exists to save. Extensibility is the other visible thread, with custom ptype2 and cast methods now registrable and extension packages expected to subclass class_vecvec. The internal index structure is explicitly reserved for future change, so faster special-case representations look planned rather than incidental.

◆ Prediction

The reserved internal structure and the stated intent to accommodate faster variants point at specialised representations for particular vector types next; the entries do not indicate which cases are queued first.

Alternatives to robma and vecvec

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 robma or vecvec.

See all robma alternatives → · See all vecvec alternatives →

Recent activity from robma and vecvec

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

  1. 1mo agovecvecExtension packages can register their own ptype and cast methods
  2. 1mo agovecvecALTREP vectors survive construction and printing intact
  3. 3mo agorobmaUnifies six model constructors into one brma class hierarchy
  4. 3mo agovecvecThe class is rebuilt on S7, with a new internal representation
  5. 4mo agovecvecMissing value handling fixed for is.na()
  6. 8mo agorobmaRoBMA 3.6.1
  7. 11mo agovecvecArithmetic and per-vector apply arrive
  8. 11mo agovecvecFirst release: constructors and vctrs dispatch
  9. 11mo agorobmaRoBMA 3.6.0
  10. 1y agorobmaRoBMA 3.5.1
  11. 1y agorobmaRoBMA 3.5.0
  12. 1y agorobmaRoBMA 3.4.0

Frequently asked questions

What is the difference between robma and vecvec?

Both compete on the same themes — r-package — within Analytics. robma and vecvec 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 robma better than vecvec?

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

What are the best alternatives to vecvec?

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