qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of dietr and netrankr — 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 centrality package that absorbed an abandoned neighbour rather than let its functions vanish.
netrankr computes centrality rankings on networks using partial orders rather than committing to a single index, and lets users build their own indices from relational components. The latest release folds in functions from the archived NetSwan package and clears deprecated igraph calls. Earlier work removed the midpoint calculation from rank_intervals, a change the notes themselves flag as possibly breaking.
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.
netrankr computes centrality rankings on networks using partial orders rather than committing to a single index, and lets users build their own indices from relational components. The latest release folds in functions from the archived NetSwan package and clears deprecated igraph calls. Earlier work removed the midpoint calculation from rank_intervals, a change the notes themselves flag as possibly breaking.
Development is sparse and driven by ecosystem pressure — igraph deprecations, CRAN archival of related packages, JOSS submission requirements. The analytic core has been stable since the partial-order framework was established; what changes is the surrounding surface and its compatibility with a moving graph stack. Absorbing NetSwan is the first real expansion in years.
Expect further igraph compatibility passes; whether the NetSwan absorption is a one-off rescue or the start of consolidating orphaned network packages is not something these entries settle.
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 netrankr.
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 netrankr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. dietr and netrankr 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 netrankr 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 netrankr alternatives in Analytics are ranked by recent ship velocity. Browse the "netrankr alternatives" section above for the current picks, or visit /alternatives/netrankr-r for the full list with editorial commentary on each.