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mmconvert vs svines

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

Shared themes:r-package

mmconvert vs svines: at a glance

Featuremmconvertsvines
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, genome-build, reference-datavine-copulas, time-series, dependence-modelling, rcpp
Last editorial update5h 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 svines?

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

Read the full svines trajectory →

mmconvert vs svines: 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.

S
svines
ANALYTICS
0.0

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

◆ Current state

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

◆ Where it's heading

This package moves when rvinecopulib moves. The 0.2.4 release exists solely to adapt to a new rvinecopulib version, and 0.2.7 carries auto-generated GitHub release notes with no description at all. It shipped on the same day as kde1d 1.1.1, another package from the same maintainer, which is the pattern to watch: changes in the shared C++ layer surface as near-simultaneous releases across the vine family rather than as independent work.

◆ Prediction

The next release most plausibly follows another rvinecopulib update rather than adding modelling capability. Two of the three visible entries carry no substantive notes, so this feed will keep underreporting what changed.

Alternatives to mmconvert and svines

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 svines.

See all mmconvert alternatives → · See all svines alternatives →

Recent activity from mmconvert and svines

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

  1. 1mo agommconvertTest adjustment to clear a CRAN Note
  2. 1y agosvinessvines 0.2.7
  3. 1y agommconvertFixes a malformed warning message in mmconvert()
  4. 1y agosvinesAdapted to new rvinecopulib version
  5. 2y agosvinesPseudo residuals and logLik support added
  6. 3y agommconvertOmits X chromosome positions for sex-averaged and male maps
  7. 3y agommconvertCRAN release adds chromosome lengths and smoothed Cox maps
  8. 3y agommconvertRecomputed Cox genetic maps and combined-array support
  9. 4y agommconvertRepoints data sources from master to main branches

Frequently asked questions

What is the difference between mmconvert and svines?

Both compete on the same themes — r-package — within Analytics. mmconvert and svines 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 svines?

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

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