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cTMed vs qtl2fst

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

Shared themes:r-package

cTMed vs qtl2fst: at a glance

FeaturecTMedqtl2fst
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesmediation-analysis, continuous-time-models, r-package, statistical-methodsr-package, genetics, memory-efficiency, on-disk-storage
Last editorial update2h ago41m ago
WebsiteVisit →Visit →

What is cTMed?

Continuous-time mediation effects get standardized centrality, six years into steady patch work

cTMed computes direct, indirect and total effects for continuous-time mediation models, with delta-method, Monte Carlo and bootstrap variants of each. Development is a long run of patch releases from the jeksterslab account, roughly every two months, each adding a function or two. The latest adds standardized centrality measures and allows a diagonal sigma across ten standardized estimators.

Read the full cTMed 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 →

cTMed vs qtl2fst: editorial side-by-side

C
cTMed
ANALYTICS
2.5

Continuous-time mediation effects get standardized centrality, six years into steady patch work

◆ Current state

cTMed computes direct, indirect and total effects for continuous-time mediation models, with delta-method, Monte Carlo and bootstrap variants of each. Development is a long run of patch releases from the jeksterslab account, roughly every two months, each adding a function or two. The latest adds standardized centrality measures and allows a diagonal sigma across ten standardized estimators.

◆ Where it's heading

The package is filling out a matrix rather than changing shape: for each effect type there is a delta-method, a Monte Carlo and a bootstrap path, and each release closes another cell. The 2025 releases were largely externally forced — an Armadillo 15.0.x transition at CRAN, a citation addition after the Psychological Methods paper landed — which suggests the statistical core has been settled since the 1.0.6 standardization revision.

◆ Prediction

The diagonal-sigma option has now reached the standardized estimators; extending it to the remaining unstandardized variants is the obvious next cell to fill.

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 cTMed 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 cTMed or qtl2fst.

See all cTMed alternatives → · See all qtl2fst alternatives →

Recent activity from cTMed and qtl2fst

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

  1. 27d agocTMedStandardized centrality measures and diagonal-sigma support
  2. 1mo agoqtl2fstcores=0 now leaves one core free instead of taking all
  3. 6mo agocTMedMinor method edits
  4. 10mo agocTMedPackage citation added for the Psychological Methods paper
  5. 10mo agocTMedArmadillo 15.0.x compatibility for CRAN
  6. 1y agocTMedStandardization reworked around the steady-state covariance matrix
  7. 1y agocTMedBootstrap centrality estimators and MCPhiSigma()
  8. 1y agoqtl2fstWindows fix for the replace_path() example
  9. 2y agoqtl2fstDocumentation link fix
  10. 4y agoqtl2fstCreates missing directories instead of erroring out
  11. 5y agoqtl2fstTest coverage for qtl2 functions against fst-backed probabilities
  12. 6y agoqtl2fstDocumentation and metadata cleanup for CRAN

Frequently asked questions

What is the difference between cTMed and qtl2fst?

Both compete on the same themes — r-package — within Analytics. cTMed 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 cTMed better than qtl2fst?

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

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