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mmconvert vs robma

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

Shared themes:r-package

mmconvert vs robma: at a glance

Featuremmconvertrobma
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, genome-build, reference-datar-package, meta-analysis, bayesian, api-redesign
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is mmconvert?

A single-purpose mouse map interpolator that solved its problem in 2023 and has coasted since

mmconvert does one thing: interpolate between GRCm39 physical positions and the revised Cox genetic map for mouse MUGA array markers. The substantive work all landed in a burst across 2021-2023 — the initial function, the GRCm39 annotation dataset, cross2_to_grcm39(), the recomputed Cox maps and their smoothed replacement. Everything since is upkeep: a warning-message fix in 0.12, and 0.14 is a test adjustment to silence a CRAN Note with no code change at all.

Read the full mmconvert 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 →

mmconvert vs robma: editorial side-by-side

M
mmconvert
ANALYTICS
0.0

A single-purpose mouse map interpolator that solved its problem in 2023 and has coasted since

◆ Current state

mmconvert does one thing: interpolate between GRCm39 physical positions and the revised Cox genetic map for mouse MUGA array markers. The substantive work all landed in a burst across 2021-2023 — the initial function, the GRCm39 annotation dataset, cross2_to_grcm39(), the recomputed Cox maps and their smoothed replacement. Everything since is upkeep: a warning-message fix in 0.12, and 0.14 is a test adjustment to silence a CRAN Note with no code change at all.

◆ Where it's heading

The package has reached the natural end state of a reference-data converter — the reference data stopped moving, so the package stopped moving. Releases now arrive roughly annually and exist to keep CRAN checks green. The 0.14 release shipped the same day as sibling qtl2convert 0.36, confirming these are batch maintenance passes across the maintainer's packages rather than independent development.

◆ Prediction

Without a new mouse genome build or a revised Cox map, the next release is likely another CRAN-check accommodation rather than new functionality.

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 mmconvert 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 mmconvert or robma.

See all mmconvert alternatives → · See all robma alternatives →

Recent activity from mmconvert and robma

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

  1. 1mo agommconvertTest adjustment to clear a CRAN Note
  2. 3mo agorobmaUnifies six model constructors into one brma class hierarchy
  3. 8mo agorobmaRoBMA 3.6.1
  4. 11mo agorobmaRoBMA 3.6.0
  5. 1y agorobmaRoBMA 3.5.1
  6. 1y agorobmaRoBMA 3.5.0
  7. 1y agommconvertFixes a malformed warning message in mmconvert()
  8. 1y agorobmaRoBMA 3.4.0
  9. 3y agommconvertOmits X chromosome positions for sex-averaged and male maps
  10. 3y agommconvertCRAN release adds chromosome lengths and smoothed Cox maps
  11. 3y agommconvertRecomputed Cox genetic maps and combined-array support
  12. 4y agommconvertRepoints data sources from master to main branches

Frequently asked questions

What is the difference between mmconvert and robma?

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

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

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