ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
Comparison · Analytics
n2kanalysis vs units
A side-by-side editorial comparison of n2kanalysis and units — release velocity, themes, recent moves, and the top alternatives to consider.
n2kanalysis vs units: at a glance
What is n2kanalysis?
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.
What is units?
units reaches 1.0 by rewriting its parser and accepting the breakage that comes with it.
units attaches physical units to R vectors on top of the udunits2 library, covering arithmetic, conversion and ggplot2 scales. Version 1.0-0 replaced the unit-expression tokenizer so numbers are consistently treated as prefixes, and expressions like ml/min/1.73m^2 now parse the way physiologists write them. Printing follows NIST conventions, and 1.0-1 is a fix pass over memory handling and parser edge cases.
n2kanalysis vs units: editorial side-by-side
n2kanalysis
0.0ANALYTICS
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
◆ Current state
n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.
◆ Where it's heading
Development is slow, institutional, and driven by the modeling needs of specific monitoring programmes rather than a product roadmap. The pattern across the window is a new model class when the ecology requires one, then a stretch of infrastructure work around storage, credentials and pipeline efficiency. The 0.4.1 release is characteristic — a credentials helper, better result retrieval, more tests and a code-style pass, with no modeling change at all. Much of the early history is recorded only as merge-commit titles, so the release record thins out the further back it goes.
◆ Prediction
Expect the next substantive release to add another INLA model variant as a monitoring programme needs it, with S3 and credential handling continuing to absorb the maintenance effort in between.
units
0.0ANALYTICS
units reaches 1.0 by rewriting its parser and accepting the breakage that comes with it.
◆ Current state
units attaches physical units to R vectors on top of the udunits2 library, covering arithmetic, conversion and ggplot2 scales. Version 1.0-0 replaced the unit-expression tokenizer so numbers are consistently treated as prefixes, and expressions like ml/min/1.73m^2 now parse the way physiologists write them. Printing follows NIST conventions, and 1.0-1 is a fix pass over memory handling and parser edge cases.
◆ Where it's heading
The long 0.8-x run was accretion — ggplot2 scales absorbed from ggforce, ud_convert(), matrix methods, steady performance work — while known parsing defects stayed in place. The 1.0 release finally traded backwards compatibility for correct parsing, and 1.0-1's pointer-wrapping and exception-propagation work suggests the C++ glue is being hardened behind it. Fixes cluster at the udunits2 boundary, which remains the main source of surprises.
◆ Prediction
Expect continued patch releases against udunits2 quirks and the new tokenizer's fallout rather than new surface area, with the ggplot2 integration and conversion helpers already in place.
Alternatives to n2kanalysis and units
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 n2kanalysis or units.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
ardlverse
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
weird
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
See all n2kanalysis alternatives → · See all units alternatives →
Recent activity from n2kanalysis and units
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agon2kanalysisconnect_inbo_s3() exposes temporary credentials to R
- 5mo agounitsMemory-leak and udunits2 parsing fixes after 1.0
- 10mo agounitsNew tokenizer parses compound units correctly ⚡
- 1y agounitsCopy semantics fix in ud_convert(); C++17 for old R
- 1y agounitscbind/rbind methods, ud_convert() and broad fixes
- 1y agon2kanalysisINLA models with SPDE elements supported
- 1y agounitsSilences a CRAN compiler warning
- 2y agon2kanalysisfit_model() made more efficient
- 2y agounitsRestores simplify=FALSE for identical units
- 3y agon2kanalysisHurdle models with imputation added
- 7y agon2kanalysisImputed data handling improvements
- 7y agon2kanalysisINLA models consolidated onto a single class
Frequently asked questions
What is the difference between n2kanalysis and units?
They serve adjacent needs but don't currently overlap on shipped themes. n2kanalysis and units 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 n2kanalysis better than units?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. n2kanalysis and units 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 n2kanalysis?
Top n2kanalysis alternatives in Analytics are ranked by recent ship velocity. Browse the "n2kanalysis alternatives" section above for the current picks, or visit /alternatives/n2kanalysis for the full list with editorial commentary on each.
What are the best alternatives to units?
Top units alternatives in Analytics are ranked by recent ship velocity. Browse the "units alternatives" section above for the current picks, or visit /alternatives/units-r for the full list with editorial commentary on each.