qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of quantities and rjwsacruncher — 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 thin R wrapper around a Java seasonal-adjustment tool, slowly absorbing the setup work.
rjwsacruncher drives JDemetra+'s JWSACruncher from R, handling parameter files and batch runs of seasonal adjustment workspaces. Recent releases have shifted from wrapping the executable to managing its installation: 0.2.3 adds a downloader for JDemetra+ itself, a check that a given directory really contains the cruncher binary, and tolerance for users pointing at the executable instead of its bin directory.
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.
rjwsacruncher drives JDemetra+'s JWSACruncher from R, handling parameter files and batch runs of seasonal adjustment workspaces. Recent releases have shifted from wrapping the executable to managing its installation: 0.2.3 adds a downloader for JDemetra+ itself, a check that a given directory really contains the cruncher binary, and tolerance for users pointing at the executable instead of its bin directory.
The work is defensive. Most of each release addresses a way users misconfigure paths or versions — clearer errors, a startup message naming which cruncher version the options select, and a standalone flag on the downloader. The package is absorbing the friction of a Java dependency it does not control.
Expect continued compatibility work as JDemetra+ 3.x diverges from 2.x, since the version split is already surfaced as a user-facing option rather than resolved internally.
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 rjwsacruncher.
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 rjwsacruncher alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. quantities and rjwsacruncher 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 rjwsacruncher 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 rjwsacruncher alternatives in Analytics are ranked by recent ship velocity. Browse the "rjwsacruncher alternatives" section above for the current picks, or visit /alternatives/rjwsacruncher for the full list with editorial commentary on each.