nflreadr
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
Comparison · Analytics
cTMed vs qtl2convert
A side-by-side editorial comparison of cTMed and qtl2convert — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cTMed vs qtl2convert: at a glance
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.
What is qtl2convert?
A conversion utility in pure maintenance mode, tracking R-devel breakage release by release
qtl2convert is the format-shim of the R/qtl2 ecosystem: it moves genotype probabilities and genetic maps between DOQTL, R/qtl and R/qtl2 representations. The last three releases contain no new conversion functions at all — 0.32 fixed a C string comparison flagged by CRAN, 0.34 restored attribute-clearing that R-devel 4.7 changed underneath the package, and 0.36 adjusted parallel core defaults plus a test tweak. The functional surface has been stable since 0.26 added cross2_ril_to_genril().
cTMed vs qtl2convert: editorial side-by-side
cTMed
2.5ANALYTICS
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.
qtl2convert
0.0ANALYTICS
A conversion utility in pure maintenance mode, tracking R-devel breakage release by release
◆ Current state
qtl2convert is the format-shim of the R/qtl2 ecosystem: it moves genotype probabilities and genetic maps between DOQTL, R/qtl and R/qtl2 representations. The last three releases contain no new conversion functions at all — 0.32 fixed a C string comparison flagged by CRAN, 0.34 restored attribute-clearing that R-devel 4.7 changed underneath the package, and 0.36 adjusted parallel core defaults plus a test tweak. The functional surface has been stable since 0.26 added cross2_ril_to_genril().
◆ Where it's heading
This is a package whose release cadence is driven by its dependencies, not its roadmap. Two of the last three releases exist purely because upstream R or CRAN's check suite moved; the maintainer responds within weeks and ships. The cores=0 change in 0.36 is the only user-visible behavior shift in over a year, and it landed simultaneously in sibling package qtl2fst — this is a maintainer-wide convention change, not a qtl2convert decision.
◆ Prediction
Expect the next release to be triggered by another R-devel or CRAN check change rather than a feature request, following the same pattern as 0.32 and 0.34.
Alternatives to cTMed and qtl2convert
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 qtl2convert.
susier
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
UCell
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
detectseparation
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
brglm2
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
bayestools
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
See all cTMed alternatives → · See all qtl2convert alternatives →
Recent activity from cTMed and qtl2convert
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 27d agocTMedStandardized centrality measures and diagonal-sigma support
- 1mo agoqtl2convertcores=0 now leaves one core free instead of taking all
- 2mo agoqtl2convertAttribute-clearing fix for R-devel 4.7
- 3mo agoqtl2convertC string comparison fix in encode_geno()
- 6mo agocTMedMinor method edits
- 10mo agocTMedPackage citation added for the Psychological Methods paper
- 10mo agocTMedArmadillo 15.0.x compatibility for CRAN
- 1y agocTMedStandardization reworked around the steady-state covariance matrix
- 1y agocTMedBootstrap centrality estimators and MCPhiSigma()
- 2y agoqtl2convertBug fix in probs_doqtl_to_qtl2()
- 4y agoqtl2convertMaintenance release for a NEWS.md typo
- 4y agoqtl2convertAdds cross2_ril_to_genril() for RIL cross conversion
Frequently asked questions
What is the difference between cTMed and qtl2convert?
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 qtl2convert?
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 qtl2convert?
Top qtl2convert alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl2convert alternatives" section above for the current picks, or visit /alternatives/qtl2convert for the full list with editorial commentary on each.