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fitVARMxID vs qtl2fst

A side-by-side editorial comparison of fitVARMxID and qtl2fst — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

fitVARMxID vs qtl2fst: at a glance

FeaturefitVARMxIDqtl2fst
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themestime-series, structural-equation-modeling, r-package, openmxr-package, genetics, memory-efficiency, on-disk-storage
Last editorial update2h ago42m ago
WebsiteVisit →Visit →

What is fitVARMxID?

A VAR-model fitting package acquiring the standard R methods it launched without

fitVARMxID fits vector autoregressive models via OpenMx identification, and is one of several packages maintained by the jeksterslab account. Its recent releases are small and additive: confint() and plot() methods, a save function, and before that a documentation pass. The feed also carries automated build commits that are pure CI artifacts.

Read the full fitVARMxID trajectory →

What is qtl2fst?

The out-of-memory backend for R/qtl2, feature-complete since 2020 and now purely on upkeep

qtl2fst backs R/qtl2 genotype probabilities with on-disk fst files so large crosses don't have to fit in RAM. Its defining release was 0.22 in 2020, which added calc_genoprob_fst() and genoprob_to_alleleprob_fst() to fuse calculation and storage in one step. The five releases since are documentation links, directory-creation robustness, a Windows example fix, and — in 0.32 — a change to how cores=0 is interpreted.

Read the full qtl2fst trajectory →

fitVARMxID vs qtl2fst: editorial side-by-side

F
fitVARMxID
ANALYTICS
2.5

A VAR-model fitting package acquiring the standard R methods it launched without

◆ Current state

fitVARMxID fits vector autoregressive models via OpenMx identification, and is one of several packages maintained by the jeksterslab account. Its recent releases are small and additive: confint() and plot() methods, a save function, and before that a documentation pass. The feed also carries automated build commits that are pure CI artifacts.

◆ Where it's heading

This is a package settling into R conventions rather than growing capability. Adding confint() and plot() is the standard-methods work most modeling packages do once the estimation core is stable — it signals the author considers the fitting side done. Cadence is roughly quarterly and the changes get smaller each time.

◆ Prediction

Further method coverage — summary(), predict(), or coef() — is the likely next step, since confint() and plot() are usually the first two of that set rather than the last.

Q
qtl2fst
ANALYTICS
0.0

The out-of-memory backend for R/qtl2, feature-complete since 2020 and now purely on upkeep

◆ Current state

qtl2fst backs R/qtl2 genotype probabilities with on-disk fst files so large crosses don't have to fit in RAM. Its defining release was 0.22 in 2020, which added calc_genoprob_fst() and genoprob_to_alleleprob_fst() to fuse calculation and storage in one step. The five releases since are documentation links, directory-creation robustness, a Windows example fix, and — in 0.32 — a change to how cores=0 is interpreted.

◆ Where it's heading

The package has settled into the role of a stable satellite of R/qtl2: it tracks the parent package's conventions rather than setting its own. The cores=0 change in 0.32 arrived alongside the identical change in qtl2convert, so the parallel-computing default is being standardized across the maintainer's packages at once. Release intervals have stretched from months to years.

◆ Prediction

Further releases will most likely mirror changes originating in R/qtl2 or CRAN checks, in the same follow-the-parent pattern as 0.24 and 0.32.

Alternatives to fitVARMxID and qtl2fst

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 fitVARMxID or qtl2fst.

See all fitVARMxID alternatives → · See all qtl2fst alternatives →

Recent activity from fitVARMxID and qtl2fst

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

  1. 15d agofitVARMxIDfitVARMxID 1.0.5
  2. 1mo agoqtl2fstcores=0 now leaves one core free instead of taking all
  3. 4mo agofitVARMxIDfitVARMxID 1.0.3
  4. 5mo agofitVARMxIDv1.0.2: Automated build [skip ci].
  5. 1y agoqtl2fstWindows fix for the replace_path() example
  6. 2y agoqtl2fstDocumentation link fix
  7. 4y agoqtl2fstCreates missing directories instead of erroring out
  8. 5y agoqtl2fstTest coverage for qtl2 functions against fst-backed probabilities
  9. 6y agoqtl2fstDocumentation and metadata cleanup for CRAN

Frequently asked questions

What is the difference between fitVARMxID and qtl2fst?

Both compete on the same themes — r-package — within Analytics. fitVARMxID is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is fitVARMxID better than qtl2fst?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fitVARMxID is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to fitVARMxID?

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

What are the best alternatives to qtl2fst?

Top qtl2fst alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl2fst alternatives" section above for the current picks, or visit /alternatives/qtl2fst for the full list with editorial commentary on each.