qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
lpjmlkit vs quantities
A side-by-side editorial comparison of lpjmlkit and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
lpjmlkit vs quantities: at a glance
What is lpjmlkit?
The LPJmL toolkit finally reads NetCDF, closing a gap against the format its field uses.
lpjmlkit is the R toolkit for running the LPJmL dynamic global vegetation model and reading its output. The 1.8.0 release adds direct NetCDF reading, either straight or via .nc.json metafiles, alongside the package's own binary formats. Before that, 1.7.3 sped up read_io(), reworked the LPJmLGridData implementation and added reservoir input support. Releases are infrequent, roughly one every 12 to 18 months.
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.
lpjmlkit vs quantities: editorial side-by-side
lpjmlkit
0.0ANALYTICS
The LPJmL toolkit finally reads NetCDF, closing a gap against the format its field uses.
◆ Current state
lpjmlkit is the R toolkit for running the LPJmL dynamic global vegetation model and reading its output. The 1.8.0 release adds direct NetCDF reading, either straight or via .nc.json metafiles, alongside the package's own binary formats. Before that, 1.7.3 sped up read_io(), reworked the LPJmLGridData implementation and added reservoir input support. Releases are infrequent, roughly one every 12 to 18 months.
◆ Where it's heading
The work concentrates on the I/O layer rather than the modeling interface, and it is moving toward the formats the wider earth-system community already exchanges. The gap between 1.7.3 and 1.8.0 is over a year, so this is a research-group package released when the science requires it, not on a schedule. The changelog itself is thin — several entries are merge-commit text or CRAN resubmissions.
◆ Prediction
Further I/O breadth is the likeliest direction now that NetCDF is supported, though the entries give no schedule; the release cadence has not been regular enough to predict timing.
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.
Alternatives to lpjmlkit and quantities
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 lpjmlkit or quantities.
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 lpjmlkit alternatives → · See all quantities alternatives →
Recent activity from lpjmlkit and quantities
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agolpjmlkitNetCDF and .nc.json metafile reading support
- 1y agoquantitiesFixes covariance and correlation implementations
- 1y agolpjmlkitread_io() speedup and reservoir input support
- 2y agoquantitiesFaster data.frame methods
- 3y agoquantitiesTest fixes for an upstream units change
- 3y agolpjmlkitCRAN resubmission for Mac M1 build failures
- 3y agolpjmlkitCRAN resubmission for Mac M1 build failures
- 3y agolpjmlkit1.0.0 restructure introduces argument deprecations
- 3y agolpjmlkitData type naming and quote character fixes
- 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
- 5y agoquantitiesCompatibility fix for units 0.7-0
- 6y agoquantitiesFixes uncertainty propagation for offset unit conversions
Frequently asked questions
What is the difference between lpjmlkit and quantities?
They serve adjacent needs but don't currently overlap on shipped themes. lpjmlkit and quantities 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 lpjmlkit better than quantities?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lpjmlkit and quantities 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 lpjmlkit?
Top lpjmlkit alternatives in Analytics are ranked by recent ship velocity. Browse the "lpjmlkit alternatives" section above for the current picks, or visit /alternatives/lpjmlkit-r for the full list with editorial commentary on each.
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.