qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of quantities and ss3diags — release velocity, themes, recent moves, and the top alternatives to consider.
The glue package that makes R carry units and uncertainty through the same calculation.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
A fisheries diagnostics package that lives and dies by one upstream dependency.
ss3diags provides residual, retrospective and hindcast cross-validation diagnostics for Stock Synthesis models, sitting directly on top of r4ss. Its recent history is dominated by that dependency: when r4ss 1.50.0 renamed columns across its read and write functions, ss3diags pinned itself to 1.49.3 only, then spent the following release adapting. It now requires r4ss 1.50.0 and above and has moved to native R pipes.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
ss3diags provides residual, retrospective and hindcast cross-validation diagnostics for Stock Synthesis models, sitting directly on top of r4ss. Its recent history is dominated by that dependency: when r4ss 1.50.0 renamed columns across its read and write functions, ss3diags pinned itself to 1.49.3 only, then spent the following release adapting. It now requires r4ss 1.50.0 and above and has moved to native R pipes.
The package is a downstream consumer whose release schedule is largely dictated by NOAA's r4ss. Between compatibility passes it has been shifting documentation from loose cookbook scripts into proper vignettes and shedding bundled Rdata in favour of objects generated at build time. Note that 2.0.3 and 2.1.0 were published the same day, so version order in this feed does not track chronology.
The next release most likely follows the next breaking r4ss change; between those, expect continued vignette and parameter-validation work.
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 quantities or ss3diags.
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 quantities alternatives → · See all ss3diags alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. quantities and ss3diags 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. quantities and ss3diags 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 quantities alternatives in Analytics are ranked by recent ship velocity. Browse the "quantities alternatives" section above for the current picks, or visit /alternatives/quantities for the full list with editorial commentary on each.
Top ss3diags alternatives in Analytics are ranked by recent ship velocity. Browse the "ss3diags alternatives" section above for the current picks, or visit /alternatives/ss3diags for the full list with editorial commentary on each.