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glmbayes vs qtl2convert

A side-by-side editorial comparison of glmbayes and qtl2convert — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

glmbayes vs qtl2convert: at a glance

Featureglmbayesqtl2convert
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesbayesian-statistics, generalized-linear-models, opencl, r-packager-package, genetics, format-conversion, cran-maintenance
Last editorial update2h ago38m ago
WebsiteVisit →Visit →

What is glmbayes?

A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain

glmbayes fits Bayesian generalized linear models with optional OpenCL acceleration. The last four months moved it from a package with its own vocabulary to one that answers the insight and bayestestR generics the rest of the R Bayesian ecosystem is built on, while pushing the OpenCL kernels out into a separate nmathopencl dependency that carries CRAN Windows binaries. It returned to CRAN in August after an archival over a configure policy issue.

Read the full glmbayes trajectory →

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().

Read the full qtl2convert trajectory →

glmbayes vs qtl2convert: editorial side-by-side

G
glmbayes
ANALYTICS
6.3

A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain

◆ Current state

glmbayes fits Bayesian generalized linear models with optional OpenCL acceleration. The last four months moved it from a package with its own vocabulary to one that answers the insight and bayestestR generics the rest of the R Bayesian ecosystem is built on, while pushing the OpenCL kernels out into a separate nmathopencl dependency that carries CRAN Windows binaries. It returned to CRAN in August after an archival over a configure policy issue.

◆ Where it's heading

The arc is about removing reasons not to use it. GPU support was previously blocked on Windows because the OpenCL kernels were vendored; splitting them into a CRAN package with binaries fixed that. The ecosystem work does the same thing for tooling — a glmb fit now responds to get_parameters, get_priors, simulate_prior and check_prior, so it drops into workflows built around easystats rather than requiring its own. The CRAN archival and the configure fixes that followed show how much of the effort goes into distribution rather than modelling.

◆ Prediction

get_priors() returning the full prior specification rather than a marginal table is the kind of detail that invites further bayestestR integration, and the diagnostic surface is the least built-out part of what has shipped so far.

Q
qtl2convert
ANALYTICS
0.0

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 glmbayes 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 glmbayes or qtl2convert.

See all glmbayes alternatives → · See all qtl2convert alternatives →

Recent activity from glmbayes and qtl2convert

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

  1. 11d agoglmbayesBack on CRAN after a configure policy fix
  2. 22d agoglmbayesOpenCL split out to nmathopencl; insight and bayestestR integration
  3. 1mo agoqtl2convertcores=0 now leaves one core free instead of taking all
  4. 1mo agoglmbayesMulti-response models and conjugate GLM priors
  5. 2mo agoqtl2convertAttribute-clearing fix for R-devel 4.7
  6. 3mo agoglmbayesOpenCL kernels restructured and a binomial GPU bug fixed
  7. 3mo agoglmbayesVersion bump for CRAN resubmission
  8. 3mo agoqtl2convertC string comparison fix in encode_geno()
  9. 1y agoglmbayesCRAN-ready beta with the core S3 interface
  10. 2y agoqtl2convertBug fix in probs_doqtl_to_qtl2()
  11. 4y agoqtl2convertMaintenance release for a NEWS.md typo
  12. 4y agoqtl2convertAdds cross2_ril_to_genril() for RIL cross conversion

Frequently asked questions

What is the difference between glmbayes and qtl2convert?

Both compete on the same themes — r-package — within Analytics. glmbayes is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 glmbayes better than qtl2convert?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glmbayes is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 glmbayes?

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