qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of TAF and tern.mmrm — release velocity, themes, recent moves, and the top alternatives to consider.
TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.
TAF is the R tooling behind the ICES Transparent Assessment Framework, which standardizes how fish stock assessments are laid out, sourced and rerun. The 4.3.0 release is the largest in years, adding roughly ten functions covering dependency installation and analysis, software version checks, directory inspection and README drafting. The package has carried zero non-base dependencies since 4.0.0, and the new work is careful not to break that.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.
TAF is the R tooling behind the ICES Transparent Assessment Framework, which standardizes how fish stock assessments are laid out, sourced and rerun. The 4.3.0 release is the largest in years, adding roughly ten functions covering dependency installation and analysis, software version checks, directory inspection and README drafting. The package has carried zero non-base dependencies since 4.0.0, and the new work is careful not to break that.
The arc runs from analysis runner to project toolkit. Early 3.x releases built out the bootstrap and metadata machinery; 4.0.0 renamed the package and stripped every external dependency; 4.2.0 cleaned up vocabulary that confused users. 4.3.0 turns outward to the people running assessments — install.deps(), pdeps() and check.software() address reproducing someone else's environment, while draft.readme(), taf.example() and dir.tree() address understanding an unfamiliar project.
Expect the follow-up work to harden the new dependency functions rather than add more surface, since 4.3.1 arrived immediately to fix wide2long() compatibility with older R and that batch of ten functions has had little field exposure.
tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.
Content per release is thin and largely organisational: a maintainer change, replacing scda with random.cdisc.data in vignettes, and adapting to new {mmrm} versions. The package appears to be in maintenance, tracking its upstream dependency rather than developing independently. The 2022 entries now visible are release-automation commits, not releases in any meaningful sense.
Nothing here signals new functionality; the realistic next event is another compatibility release when {mmrm} or {rtables} changes underneath it.
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 TAF or tern.mmrm.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all TAF alternatives → · See all tern.mmrm alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. TAF and tern.mmrm 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. TAF and tern.mmrm 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.
Top TAF alternatives in Analytics are ranked by recent ship velocity. Browse the "TAF alternatives" section above for the current picks, or visit /alternatives/taf-r for the full list with editorial commentary on each.
Top tern.mmrm alternatives in Analytics are ranked by recent ship velocity. Browse the "tern.mmrm alternatives" section above for the current picks, or visit /alternatives/tern-mmrm for the full list with editorial commentary on each.