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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of dietr and ss3diags — release velocity, themes, recent moves, and the top alternatives to consider.
A fish diet package whose release history is really a record of surviving rfishbase.
dietr computes diet and trophic indices for fish from FishBase-style data, including electivity measures and composite indices. Its recent releases exist because upstream rfishbase changes repeatedly broke it — the latest pair restore functionality after a break severe enough to get the package removed from CRAN, while adding GII, MFI and Windell significance to the composite indices. The 1.1.6-1 patch restates the same notes as 1.1.6.
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.
dietr computes diet and trophic indices for fish from FishBase-style data, including electivity measures and composite indices. Its recent releases exist because upstream rfishbase changes repeatedly broke it — the latest pair restore functionality after a break severe enough to get the package removed from CRAN, while adding GII, MFI and Windell significance to the composite indices. The 1.1.6-1 patch restates the same notes as 1.1.6.
Almost every release in this window names an upstream dependency as its cause: rfishbase updates in four of them, duckdb in another. The genuine methodological additions arrive bundled inside those repair releases rather than on their own. That is a fragile position for a package whose core value is convenient access to a remote database.
The next release most likely follows the next rfishbase change; new indices will probably continue to ride along with compatibility repairs.
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 dietr 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 dietr 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. dietr 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. dietr 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 dietr alternatives in Analytics are ranked by recent ship velocity. Browse the "dietr alternatives" section above for the current picks, or visit /alternatives/dietr-r 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.