paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of rjdqa and TAF — release velocity, themes, recent moves, and the top alternatives to consider.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
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.
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.
The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.
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.
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 rjdqa or TAF.
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors keeps making uncertainty print the way each scientific field expects.
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls has not changed its statistics since 2016 — only its website, twice.
grex is a lookup table with a version number — it ships when the annotation moves.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rjdqa and TAF 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. rjdqa and TAF 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 rjdqa alternatives in Analytics are ranked by recent ship velocity. Browse the "rjdqa alternatives" section above for the current picks, or visit /alternatives/rjdqa-r for the full list with editorial commentary on each.
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.