constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
A side-by-side editorial comparison of qqman and r4ss — release velocity, themes, recent moves, and the top alternatives to consider.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.
NOAA's Stock Synthesis toolkit renamed its columns and shook the packages built on it.
r4ss reads, writes, runs and plots Stock Synthesis fisheries models, and is the base layer for a set of NOAA assessment packages. The current release tracks SS3 3.30.23.1 with plot and reader fixes. The consequential recent change was structural: the SS_read* functions standardised their column names, which broke downstream packages and forced at least one to pin an older version.
qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.
The real development window was 2014 to 2015. The 0.1.2 release did the substantive work, replacing the assumption that SNPs are evenly distributed across chromosomes and handing users control of axis limits, labels and log transformation; 0.1.3 then added annotation by p-value threshold and top-SNP-per-chromosome. After that the package stops. Notably, the archival 0.0.0 entry records that the original script had confidence intervals on QQ plots and richer highlighting than the released package ever regained.
With one packaging fix in the last decade, these entries support no prediction of further releases. The package reads as complete for its narrow purpose rather than abandoned mid-arc.
r4ss reads, writes, runs and plots Stock Synthesis fisheries models, and is the base layer for a set of NOAA assessment packages. The current release tracks SS3 3.30.23.1 with plot and reader fixes. The consequential recent change was structural: the SS_read* functions standardised their column names, which broke downstream packages and forced at least one to pin an older version.
The project explicitly de-emphasises releases — the notes tell users to install the latest development version and treat tags as anchors for dependent packages. That has produced a rhythm of long quiet stretches punctuated by a breaking cleanup: the run-function revamp in 1.46.1, then the column renaming in 1.50.0. Ordinary releases in between are SS3 version tracking.
Expect the next tagged release to follow the next SS3 version rather than a fixed schedule, with continued incremental plotting and reader fixes.
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 qqman or r4ss.
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.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. qqman and r4ss 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. qqman and r4ss 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 qqman alternatives in Analytics are ranked by recent ship velocity. Browse the "qqman alternatives" section above for the current picks, or visit /alternatives/qqman-r for the full list with editorial commentary on each.
Top r4ss alternatives in Analytics are ranked by recent ship velocity. Browse the "r4ss alternatives" section above for the current picks, or visit /alternatives/r4ss for the full list with editorial commentary on each.