qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
quantities vs r4ss
A side-by-side editorial comparison of quantities and r4ss — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
quantities vs r4ss: at a glance
What is quantities?
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.
What is r4ss?
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.
quantities vs r4ss: editorial side-by-side
quantities
0.0ANALYTICS
The glue package that makes R carry units and uncertainty through the same calculation.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
r4ss
0.0ANALYTICS
NOAA's Stock Synthesis toolkit renamed its columns and shook the packages built on it.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect the next tagged release to follow the next SS3 version rather than a fixed schedule, with continued incremental plotting and reader fixes.
Alternatives to quantities and r4ss
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 r4ss.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all quantities alternatives → · See all r4ss alternatives →
Recent activity from quantities and r4ss
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoquantitiesFixes covariance and correlation implementations
- 1y agor4ssTracks SS3 3.30.23.1 with reader and plotting fixes
- 2y agor4ssSS_read* column names standardised in a breaking cleanup ⚡
- 2y agoquantitiesFaster data.frame methods
- 3y agoquantitiesTest fixes for an upstream units change
- 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
- 4y agor4ssModel-running functions renamed and standardised
- 4y agor4ssCRAN release matching SS3 3.30.19.01
- 5y agor4ssCompatibility release for SS3 3.30.17.00
- 5y agoquantitiesCompatibility fix for units 0.7-0
- 6y agoquantitiesFixes uncertainty propagation for offset unit conversions
- 6y agor4ssCompatibility release for SS3 3.30.15.00
Frequently asked questions
What is the difference between quantities and r4ss?
Both compete on the same themes — r-package — within Analytics. quantities 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.
Is quantities better than r4ss?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. quantities 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.
What are the best alternatives to quantities?
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.
What are the best alternatives to r4ss?
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.