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abclass vs mmconvert

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

abclass vs mmconvert: at a glance

Featureabclassmmconvert
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclassification, regularization, large-margin classifiers, cran maintenancer-package, genetics, genome-build, reference-data
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is abclass?

abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.

An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.

Read the full abclass trajectory →

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 →

abclass vs mmconvert: editorial side-by-side

A
abclass
ANALYTICS
0.0

abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.

◆ Current state

An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.

◆ Where it's heading

The methods surface is complete and the package has moved into maintenance, where releases are triggered by the R ecosystem rather than by research. The one structural habit worth noting is a willingness to change defaults — alpha, epsilon, lum_c and now the cross-validation alignment have all shifted between versions, so results are not stable across upgrades unless arguments are set explicitly.

◆ Prediction

Expect further releases to track CRAN dependency changes, as 0.5.1 did within a day of qpmadr's archival; nothing in the entries points to new penalty families.

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.

Alternatives to abclass and mmconvert

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 abclass or mmconvert.

See all abclass alternatives → · See all mmconvert alternatives →

Recent activity from abclass and mmconvert

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

  1. 1mo agommconvertTest adjustment to clear a CRAN Note
  2. 7mo agoabclassQuadratic programming backend swapped after CRAN archival
  3. 10mo agoabclassGroup penalty specification simplified
  4. 1y agommconvertFixes a malformed warning message in mmconvert()
  5. 3y agommconvertOmits X chromosome positions for sex-averaged and male maps
  6. 3y agommconvertCRAN release adds chromosome lengths and smoothed Cox maps
  7. 3y agommconvertRecomputed Cox genetic maps and combined-array support
  8. 3y agoabclassSparse input, cross-validation and efficient tuning added
  9. 4y agoabclassGroup SCAD and MCP penalties added
  10. 4y agoabclassGroup lasso regularization and correctness fixes
  11. 4y agoabclassFirst release of the angle-based classifiers
  12. 4y agommconvertRepoints data sources from master to main branches

Frequently asked questions

What is the difference between abclass and mmconvert?

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

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

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

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.